{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 准备工作"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "阿里研究院\n",
    "阿里健康\n",
    "阿里巴巴商学院\n",
    "阿里数据\n",
    "\n",
    "腾讯金融科技\n",
    "腾讯研究院\n",
    "腾讯媒体研究院\n",
    "腾讯云启研究院\n",
    "酷鹅用户研究院\n",
    "'''\n",
    "公众号 = \"web前端学习圈\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "fn = { \"output\" : { \"公众号_htm_snippets\": \"data_raw_src/公众号_htm_snippets_{公众号}.tsv\",\n",
    "                    \"公众号_df\": \"data_raw_src/公众号_df_{公众号}.tsv\",\n",
    "                    \"公众号_xlsx\": \"data_sets/公众号_url_{公众号}.xlsx\" } \\\n",
    "      }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 采集公众号（requests）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-26-094de27d7112>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     36\u001b[0m     \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mrandom\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     37\u001b[0m     \u001b[1;31m# 使用get方法进行提交\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 38\u001b[1;33m     \u001b[0mcontent_json\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mheaders\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjson\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     39\u001b[0m     \u001b[1;31m#print(content_json)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     40\u001b[0m     \u001b[1;31m# 返回了一个json，里面是每一页的数据\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mget\u001b[1;34m(url, params, **kwargs)\u001b[0m\n\u001b[0;32m     73\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     74\u001b[0m     \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'allow_redirects'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 75\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'get'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     76\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     77\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(method, url, **kwargs)\u001b[0m\n\u001b[0;32m     58\u001b[0m     \u001b[1;31m# cases, and look like a memory leak in others.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     59\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0msessions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 60\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     61\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     62\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[0;32m    531\u001b[0m         }\n\u001b[0;32m    532\u001b[0m         \u001b[0msend_kwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msettings\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 533\u001b[1;33m         \u001b[0mresp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprep\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0msend_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    534\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    535\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, **kwargs)\u001b[0m\n\u001b[0;32m    644\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    645\u001b[0m         \u001b[1;31m# Send the request\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 646\u001b[1;33m         \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    647\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    648\u001b[0m         \u001b[1;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m    447\u001b[0m                     \u001b[0mdecode_content\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    448\u001b[0m                     \u001b[0mretries\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmax_retries\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 449\u001b[1;33m                     \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    450\u001b[0m                 )\n\u001b[0;32m    451\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m    670\u001b[0m                 \u001b[0mbody\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbody\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    671\u001b[0m                 \u001b[0mheaders\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mheaders\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 672\u001b[1;33m                 \u001b[0mchunked\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mchunked\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    673\u001b[0m             )\n\u001b[0;32m    674\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[1;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[0;32m    374\u001b[0m         \u001b[1;31m# Trigger any extra validation we need to do.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    375\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 376\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    377\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mSocketTimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mBaseSSLError\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    378\u001b[0m             \u001b[1;31m# Py2 raises this as a BaseSSLError, Py3 raises it as socket timeout.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_validate_conn\u001b[1;34m(self, conn)\u001b[0m\n\u001b[0;32m    992\u001b[0m         \u001b[1;31m# Force connect early to allow us to validate the connection.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    993\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"sock\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m  \u001b[1;31m# AppEngine might not have  `.sock`\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 994\u001b[1;33m             \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    995\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    996\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_verified\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36mconnect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    358\u001b[0m             \u001b[0mca_cert_dir\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mca_cert_dir\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    359\u001b[0m             \u001b[0mserver_hostname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mserver_hostname\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 360\u001b[1;33m             \u001b[0mssl_context\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcontext\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    361\u001b[0m         )\n\u001b[0;32m    362\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\util\\ssl_.py\u001b[0m in \u001b[0;36mssl_wrap_socket\u001b[1;34m(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password)\u001b[0m\n\u001b[0;32m    334\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mca_certs\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mca_cert_dir\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    335\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 336\u001b[1;33m             \u001b[0mcontext\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload_verify_locations\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mca_certs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mca_cert_dir\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    337\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mIOError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m  \u001b[1;31m# Platform-specific: Python 2.7\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    338\u001b[0m             \u001b[1;32mraise\u001b[0m \u001b[0mSSLError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\contrib\\pyopenssl.py\u001b[0m in \u001b[0;36mload_verify_locations\u001b[1;34m(self, cafile, capath, cadata)\u001b[0m\n\u001b[0;32m    451\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mcapath\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    452\u001b[0m             \u001b[0mcapath\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcapath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mencode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"utf-8\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 453\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_ctx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload_verify_locations\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcafile\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcapath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    454\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mcadata\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    455\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_ctx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload_verify_locations\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mBytesIO\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcadata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\OpenSSL\\SSL.py\u001b[0m in \u001b[0;36mload_verify_locations\u001b[1;34m(self, cafile, capath)\u001b[0m\n\u001b[0;32m    787\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    788\u001b[0m         load_result = _lib.SSL_CTX_load_verify_locations(\n\u001b[1;32m--> 789\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_context\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcafile\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcapath\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    790\u001b[0m         )\n\u001b[0;32m    791\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mload_result\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# 目标url\n",
    "\n",
    "import time\n",
    "import requests\n",
    "import pandas as pd\n",
    "import csv\n",
    "from random import random\n",
    "\n",
    "url = \"https://mp.weixin.qq.com/cgi-bin/appmsg\"\n",
    "\n",
    "# 使用Cookie，跳过登陆操作\n",
    "headers = {\n",
    "  \"Cookie\": \"RK=y1JRTQI3QZ; ptcz=7831c695a5a9c9171394136121cba1f957174c31e6d60df130c43806f7f6de92; ua_id=COlxthHMJ4QqySxhAAAAAEUyKHAr5oTEocnjyh_4jko=; pgv_pvi=8546741248; openid2ticket_o580K4xEuL9lD36h54cA8FDqMdRA=KtQOWXkkUj4g7x8sIPmSaFTbm86thKaPWGEDQlv0Sew=; mm_lang=zh_CN; wxuin=88860121834195; _qpsvr_localtk=1589014996182; pgv_si=s1910099968; uuid=cf2c1dcbc89c8f8ee7b7e2e4ca0d6387; rand_info=CAESIAOEPL6lKQQVEiT9TKaTlDLvmpJ9CHMGY9eluLDpRFlo; slave_bizuin=3217326660; data_bizuin=3217326660; bizuin=3217326660; data_ticket=DTHMDG5tIuW5nXHQhgB42UJosjdW7lz2h/Sweqs1oUHv8RqsiUkOlr+EFEnf6SQZ; slave_sid=c0gyb1dtclJkRV8xOHE2X2ZWZW5rM2Y5dEZkR1dhdEFYVGlPakoyZE5zOThneDZXS3VxVFdpRmdhZkU5aHVnYnNzNWdpenBZSUxRNUExZjdOUzZwQ0RhTzFMbkF6N3l0SlZSMW9yU294VGlRZmlWVWZqWXZ6YkZaeHVlenppTEFialRMaHhSTXNIekhRNTVS; slave_user=gh_e81ad1b8a9fe; xid=6a2b338879ea8db705adeba96f608e8a; openid2ticket_oRILEv_Q8bSyHiBMyl_1yRFHUaxc=gZWFY0D0zGnakZu1C/V80YYe+NyivPu9plJJqp/uKhE=\",\n",
    "  \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36\"}\n",
    "\n",
    "data = {\n",
    "    \"token\": \"1522385329\",#个人专属ID\n",
    "    \"lang\": \"zh_CN\",\n",
    "    \"f\": \"json\",\n",
    "    \"ajax\": \"1\",\n",
    "    \"action\": \"list_ex\",\n",
    "    \"begin\": \"0\",\n",
    "    \"count\": \"5\",\n",
    "    \"query\": \"\",\n",
    "    \"fakeid\": \"MjM5Mzg3OTg4MQ==\",#公众号专属ID\n",
    "    \"type\": \"9\",\n",
    "}\n",
    "\n",
    "\n",
    "\n",
    "content_list=[]\n",
    "\n",
    "for i in range(5):\n",
    "    data[\"begin\"] = i*5\n",
    "    print(data[\"begin\"])\n",
    "    time.sleep(3+2*random())\n",
    "    # 使用get方法进行提交\n",
    "    content_json = requests.get(url, headers=headers, params=data).json()\n",
    "    #print(content_json)\n",
    "    # 返回了一个json，里面是每一页的数据\n",
    "    for item in content_json[\"app_msg_list\"]:\n",
    "    # 提取每页文章的标题及对应的url\n",
    "        items = []\n",
    "        items.append(item[\"title\"])\n",
    "        items.append(item[\"link\"])\n",
    "        items.append(item[\"create_time\"])\n",
    "        items.append(item[\"digest\"])\n",
    "        content_list.append(items)\n",
    "\n",
    "\n",
    "name=['title','link','create_time','digest']\n",
    "test=pd.DataFrame(columns=name,data=content_list)\n",
    "test\n",
    "# with pd.ExcelWriter(fn[\"output\"][\"公众号_xlsx\"].format(公众号=\"蚂蚁金服科技_requests\")) as writer:\n",
    "#     test.to_excel(writer)\n",
    "\n",
    "# test.to_csv(\"../微信公众号爬虫_zhichao/南方周末.csv\",mode='a',encoding='utf-8')\n",
    "# print(\"保存成功\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import requests\n",
    "import pandas as pd\n",
    "import csv\n",
    "from random import random"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 采集公众号（selenium）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from lxml.html import fromstring\n",
    "import time\n",
    "from random import random\n",
    "\n",
    "# when selenium main_content is used\n",
    "# Parses an HTML document from a string constant.  Returns the root nood\n",
    "# root = fromstring(df.loc[1,\"html_snippets\"]) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用Selenium\n",
    "* 要更改 opts.binary_location 至自己本地的Chrome浏览器，建议portable\n",
    "* Chrome浏览器 和 chromedriver.exe要同版本号到小数后一位\n",
    "* 要确保可以 开启浏览器机器人\n",
    "* 要确保浏览器机器人 可以打开网页 driver.get(\"https://mp.weixin.qq.com\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\1\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:18: DeprecationWarning: use options instead of chrome_options\n"
     ]
    }
   ],
   "source": [
    "from selenium import webdriver\n",
    "from selenium.webdriver.common.desired_capabilities import DesiredCapabilities\n",
    "\n",
    "#caps=dict()\n",
    "#caps[\"pageLoadStrategy\"] = \"none\"   # Do not wait for full page load\n",
    "\n",
    "opts = webdriver.ChromeOptions()\n",
    "opts.add_argument('--no-sandbox')#解决DevToolsActivePort文件不存在的报错\n",
    "opts.add_argument('window-size=1920x3000') #指定浏览器分辨率\n",
    "opts.add_argument('--disable-gpu') #谷歌文档提到需要加上一这个属性来规避bug\n",
    "opts.add_argument('--hide-scrollbars') #隐藏滚动条, 应对些特殊页面\n",
    "#opts.add_argument('blink-settings=imagesEnabled=false') #不加载图片, 提升速度\n",
    "#opts.add_argument('--headless') #浏览器不提供可视化页面. linux下如果系统不支持可视化不加这条会启动失败\n",
    "\n",
    "opts.binary_location = r\"C:\\\\Users\\\\1\\\\AppData\\\\Local\\\\Google\\\\Chrome\\\\Application\\\\chrome.exe\" #\"H:\\_coding_\\Gitee\\InternetNewMedia\\CapstonePrj2016\\chromedriver.exe\"  \n",
    "\n",
    "# \"H:\\_coding_\\Gitee\\InternetNewMedia\\CapstonePrj2016\\chromedriver.exe\"  \n",
    "driver = webdriver.Chrome( chrome_options = opts) #desired_capabilities=caps,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.get(\"https://mp.weixin.qq.com\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 填表登入"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "selenium 的定位方法\n",
    "* find_element_by_id &ensp;&ensp;&ensp;  根据标签id定位\n",
    "* find_element_by_name   &ensp;&ensp;&ensp; 根据标签的name定位\n",
    "* find_element_by_xpath  &ensp;&ensp;&ensp; 根据xpath定位\n",
    "* find_element_by_link_text  &ensp;&ensp;&ensp; 通过文字链接来定位元素\n",
    "* find_element_by_partial_link_text  &ensp;&ensp;&ensp;  通过文字链接来定位元素\n",
    "* find_element_by_tag_name  &ensp;&ensp;&ensp;  根据标签的名字定位\n",
    "* find_element_by_class_name  &ensp;&ensp;&ensp; 通过class name 定位\n",
    "* find_element_by_css_selector  &ensp;&ensp;&ensp;  根据元素属性来定位"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "payload =  {\"account\": \"822788599@qq.com\", \"password\": \"lucas990929\"}\n",
    "# payload =  {\"account\": \"NFUHacks@163.com\", \"password\": \"NFU706947580\"}\n",
    "#点击账号密码登录\n",
    "driver.find_element_by_xpath('//div[@class=\"login__type__container login__type__container__scan\"]/a').click()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "WebDriver 常用方法：\n",
    "* clear()清除文本\n",
    "* send_keys(values)模拟按键输入\n",
    "* click()模拟点击\n",
    "* submit模拟提交"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.find_element_by_xpath('//form[@class=\"login_form\"]//input[@name=\"account\"]').clear()\n",
    "driver.find_element_by_xpath('//form[@class=\"login_form\"]//input[@name=\"account\"]').send_keys(payload['account'])\n",
    "driver.find_element_by_xpath('//form[@class=\"login_form\"]//input[@name=\"password\"]').clear()\n",
    "driver.find_element_by_xpath('//form[@class=\"login_form\"]//input[@name=\"password\"]').send_keys(payload['password'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.find_element_by_xpath('//div[@class=\"login_btn_panel\"]/a').click()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 点选单"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "其他常用方法\n",
    "* size：返回元素的尺寸\n",
    "* text：获取元素的文本\n",
    "* get_attribute：获取属性值  \n",
    "    * get_attribute('innerHTML')获取元素内的全部HTML\n",
    "    * get_attribute('textContent')会获取标签之间的文本内容\n",
    "    * get_attribute('outerHTML')获取当前标签的完整 html\n",
    "* is_displayed()：设置该元素用户是否可见"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "element = driver.find_element_by_xpath('//a[@id=\"m_open\"]')\n",
    "element.click()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'展开'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main_content = element.get_attribute('innerHTML')\n",
    "main_content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#移动到页面最底部\n",
    "driver.execute_script(\"window.scrollTo(0,document.body.scrollHeight)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://mp.weixin.qq.com/cgi-bin/appmsg?begin=0&count=10&t=media/appmsg_list&type=10&action=list&token=693519238&lang=zh_CN'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "element = driver.find_element_by_xpath('//li[@title[contains(.,\"素材管理\")]]/a') \n",
    "# main_content = element.get_attribute('innerHTML')\n",
    "# main_content\n",
    "url2= element.get_attribute(\"href\")\n",
    "url2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#跳转到url2页面\n",
    "driver.get(url2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 新建图文消息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#*是匹配任何元素节点；.指代当前节点\n",
    "element = driver.find_element_by_xpath('//*[text()[contains(.,\"新建图文消息\")]]') \n",
    "main_content = element.get_attribute('innerHTML')\n",
    "main_content\n",
    "element.click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['CDwindow-8C32EA28FC3BD17D751AA04C78283B9B', 'CDwindow-BB2868702C92BB4A12D82BC89B60606D']\n"
     ]
    }
   ],
   "source": [
    "#检查打开的窗口\n",
    "print (driver.window_handles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 新建图文消息开了另一分视窗，所以要切换 switch_to \n",
    "driver.switch_to.window(driver.window_handles[-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 超链接"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                超链接              \n"
     ]
    }
   ],
   "source": [
    "#定位到含有“超链接”三字的文字\n",
    "element = driver.find_element_by_xpath('//*[text()[contains(.,\"超链接\")]]') \n",
    "main_content = element.get_attribute('innerHTML')\n",
    "print(main_content)\n",
    "element.click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "选择其他公众号\n"
     ]
    }
   ],
   "source": [
    "# 点 选择其他公众号\n",
    "element = driver.find_element_by_xpath('//*[text()[contains(.,\"选择其他公众号\")]]') \n",
    "main_content = element.get_attribute('innerHTML')\n",
    "print(main_content)\n",
    "element.click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "公众号名称=\"web前端学习圈\"\n",
    "driver.find_element_by_xpath('//form//div[@class=\"inner_link_account_area\"]//input[@class=\"weui-desktop-form__input\"]').clear()\n",
    "driver.find_element_by_xpath('//form//div[@class=\"inner_link_account_area\"]//input[@class=\"weui-desktop-form__input\"]').send_keys(公众号名称)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<div class=\"weui-desktop-icon weui-desktop-icon__inputSearch weui-desktop-icon__small\"><!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <svg width=\"16\" height=\"16\" viewBox=\"0 0 16 16\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M11.33 10.007l4.273 4.273a.502.502 0 0 1 .005.709l-.585.584a.499.499 0 0 1-.709-.004L10.046 11.3a6.278 6.278 0 1 1 1.284-1.294zm.012-3.729a5.063 5.063 0 1 0-10.127 0 5.063 5.063 0 0 0 10.127 0z\"></path></svg> <!----> <!----> <!----> <!----></div>\n"
     ]
    }
   ],
   "source": [
    "# 点放大镜搜\n",
    "element = driver.find_element_by_xpath('//button[@class=\"weui-desktop-icon-btn weui-desktop-search__btn\"]')\n",
    "main_content = element.get_attribute('innerHTML')\n",
    "print(main_content)\n",
    "element.click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('<li class=\"inner_link_account_item\"><div '\n",
      " 'class=\"weui-desktop-vm_primary\"><img '\n",
      " 'src=\"http://mmbiz.qpic.cn/mmbiz_png/vO7l6lQ0BwpzagDic5ic5WETf0XOGVen5IUdYibPaDSTRP9m328K77wCCfOX39AHQUhbF1o4r9tk4Sqpax4D97WyA/0?wx_fmt=png\" '\n",
      " 'class=\"inner_link_account_avatar\"> <strong '\n",
      " 'class=\"inner_link_account_nickname\">web前端学习圈</strong> <i '\n",
      " 'class=\"inner_link_account_wechat\">微信号：web-xxq</i></div> <div '\n",
      " 'class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li '\n",
      " 'class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img '\n",
      " 'src=\"http://mmbiz.qpic.cn/mmbiz_png/12xW2F2gt78dNqKXnWokzcKha2MK5coayVB3z6g5tL80waakGGfF8sF5richw63sUAyjwiaaZdmT5894spxHK7kg/0?wx_fmt=png\" '\n",
      " 'class=\"inner_link_account_avatar\"> <strong '\n",
      " 'class=\"inner_link_account_nickname\">web前端学习汇</strong> <i '\n",
      " 'class=\"inner_link_account_wechat\">微信号：Webxxh</i></div> <div '\n",
      " 'class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li '\n",
      " 'class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img '\n",
      " 'src=\"http://mmbiz.qpic.cn/mmbiz_png/XVTalJrFDhDdLOPfiahNh79ndocj3YeBshAM3fal4YCBvSKd8u4LBpzDtnUxs0XAHecFEZyaZ1DWlgHDllV2OSw/0?wx_fmt=png\" '\n",
      " 'class=\"inner_link_account_avatar\"> <strong '\n",
      " 'class=\"inner_link_account_nickname\">web前端学习教程</strong> <i '\n",
      " 'class=\"inner_link_account_wechat\">微信号：webqiand</i></div> <div '\n",
      " 'class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li '\n",
      " 'class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img '\n",
      " 'src=\"http://mmbiz.qpic.cn/mmbiz_png/85TgnGbEj5yHXKnllDRmYwAj2ian8oBRTw4Dic6jtGY0SBGZMicW6YhzMictxsSJIOIECoKCfVprjNfMrENK5V2SCw/0?wx_fmt=png\" '\n",
      " 'class=\"inner_link_account_avatar\"> <strong '\n",
      " 'class=\"inner_link_account_nickname\">Web前端学习笔记</strong> <i '\n",
      " 'class=\"inner_link_account_wechat\">微信号：WebFrontNote</i></div> <div '\n",
      " 'class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li '\n",
      " 'class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img '\n",
      " 'src=\"http://mmbiz.qpic.cn/mmbiz_png/ficoicA1ic9FicMmdRxJdlXQ0XUvadUBwpicjFvIrYTvtqgs93hzNcOYag2W6RfeibxTdxTTVMTsOcSvtOTyewdH83sw/0?wx_fmt=png\" '\n",
      " 'class=\"inner_link_account_avatar\"> <strong '\n",
      " 'class=\"inner_link_account_nickname\">Web前端技术学习</strong> <i '\n",
      " 'class=\"inner_link_account_wechat\">微信号：未设置</i></div> <div '\n",
      " 'class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li '\n",
      " 'class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img '\n",
      " 'src=\"http://mmbiz.qpic.cn/mmbiz_png/KMM6ibady1rCXibgibX6An2rmNicbsPaac4fE7AnOjUmZFcuwV7RCLFjN59JcuAf96iaEZFd6ppc63VzS383Brq3yCg/0?wx_fmt=png\" '\n",
      " 'class=\"inner_link_account_avatar\"> <strong '\n",
      " 'class=\"inner_link_account_nickname\">web前端技术圈</strong> <i '\n",
      " 'class=\"inner_link_account_wechat\">微信号：webxh6</i></div> <div '\n",
      " 'class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li '\n",
      " 'class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img '\n",
      " 'src=\"http://mmbiz.qpic.cn/mmbiz_png/j9FPWpvW02vwr4xQHRk5nFg3JTkOgslibwwYIH17fQrYiaw7ialbNYgrxEGn6CibJemspjZUfmx7J9X4cYa1N3EATQ/0?wx_fmt=png\" '\n",
      " 'class=\"inner_link_account_avatar\"> <strong '\n",
      " 'class=\"inner_link_account_nickname\">web与前端学习社区</strong> <i '\n",
      " 'class=\"inner_link_account_wechat\">微信号：webxx888</i></div> <div '\n",
      " 'class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li '\n",
      " 'class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img '\n",
      " 'src=\"http://mmbiz.qpic.cn/mmbiz_png/Yy22NT7ibmsiahor8K4XanRF757PkMM7cY18kRajYia0eod2MNfbuyVLKCjT9uibR6oFdoanicHAmxFzibdopboib8bKA/0?wx_fmt=png\" '\n",
      " 'class=\"inner_link_account_avatar\"> <strong '\n",
      " 'class=\"inner_link_account_nickname\">WEB前端学习之路</strong> <i '\n",
      " 'class=\"inner_link_account_wechat\">微信号：superFrontEnd</i></div> <div '\n",
      " 'class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li '\n",
      " 'class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img '\n",
      " 'src=\"http://mmbiz.qpic.cn/mmbiz_png/fdZCaeHKCh5wLsicXkL7gv1icNWCADVmiaQLDTqezBqAHLyia0XOEFATXehE9wTvKVc2O1nw9IiaMHdlZyCgVREqCqg/0?wx_fmt=png\" '\n",
      " 'class=\"inner_link_account_avatar\"> <strong '\n",
      " 'class=\"inner_link_account_nickname\">web前端学习营</strong> <i '\n",
      " 'class=\"inner_link_account_wechat\">微信号：web-7258</i></div> <div '\n",
      " 'class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li '\n",
      " 'class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img '\n",
      " 'src=\"http://mmbiz.qpic.cn/mmbiz_png/ddNezcXpmd4ygxghg95kPDDAyBnd5picl6wzFGicMV9xrhRxLZdcMd0cgWeyLxWdQ1Y4zT62AJqkUyoNQ8ZkKZ5A/0?wx_fmt=png\" '\n",
      " 'class=\"inner_link_account_avatar\"> <strong '\n",
      " 'class=\"inner_link_account_nickname\">web前端学习中心</strong> <i '\n",
      " 'class=\"inner_link_account_wechat\">微信号：htz533023</i></div> <div '\n",
      " 'class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li>')\n"
     ]
    }
   ],
   "source": [
    "import pprint\n",
    "element = driver.find_element_by_xpath('//ul[@class=\"inner_link_account_list\"]')\n",
    "main_content = element.get_attribute('innerHTML')\n",
    "pprint.pprint(main_content)\n",
    "公众号SERP = main_content\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Element div at 0x12734d91318>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 解析\n",
    "#fromstring() 可以在解析xml格式时，将字符串道转换为Element对象\n",
    "import numpy as np\n",
    "root = fromstring(公众号SERP) \n",
    "root"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "主 = root.xpath('//li[@class=\"inner_link_account_item\"]')\n",
    "\n",
    "account_list = []\n",
    "for e in 主:\n",
    "    account_nickname = e.xpath('./div/strong[@class=\"inner_link_account_nickname\"]')[0].text\n",
    "    account_wechat = e.xpath('./div/i[@class=\"inner_link_account_wechat\"]')[0].text\n",
    "    account_img = e.xpath('./div/img/@src')[0]\n",
    "    account = {\"nickname\": account_nickname, \"wechat\": account_wechat, \"img\": account_img,}\n",
    "    account_list.append(account)\n",
    "\n",
    "df_account = pd.DataFrame(account_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nickname</th>\n",
       "      <th>wechat</th>\n",
       "      <th>img</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>web前端学习圈</td>\n",
       "      <td>微信号：web-xxq</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/vO7l6lQ0BwpzagD...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>web前端学习汇</td>\n",
       "      <td>微信号：Webxxh</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/12xW2F2gt78dNqK...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>web前端学习教程</td>\n",
       "      <td>微信号：webqiand</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/XVTalJrFDhDdLOP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Web前端学习笔记</td>\n",
       "      <td>微信号：WebFrontNote</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/85TgnGbEj5yHXKn...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Web前端技术学习</td>\n",
       "      <td>微信号：未设置</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/ficoicA1ic9FicM...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>web前端技术圈</td>\n",
       "      <td>微信号：webxh6</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/KMM6ibady1rCXib...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>web与前端学习社区</td>\n",
       "      <td>微信号：webxx888</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/j9FPWpvW02vwr4x...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>WEB前端学习之路</td>\n",
       "      <td>微信号：superFrontEnd</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/Yy22NT7ibmsiaho...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>web前端学习营</td>\n",
       "      <td>微信号：web-7258</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/fdZCaeHKCh5wLsi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>web前端学习中心</td>\n",
       "      <td>微信号：htz533023</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/ddNezcXpmd4ygxg...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     nickname             wechat  \\\n",
       "0    web前端学习圈        微信号：web-xxq   \n",
       "1    web前端学习汇         微信号：Webxxh   \n",
       "2   web前端学习教程       微信号：webqiand   \n",
       "3   Web前端学习笔记   微信号：WebFrontNote   \n",
       "4   Web前端技术学习            微信号：未设置   \n",
       "5    web前端技术圈         微信号：webxh6   \n",
       "6  web与前端学习社区       微信号：webxx888   \n",
       "7   WEB前端学习之路  微信号：superFrontEnd   \n",
       "8    web前端学习营       微信号：web-7258   \n",
       "9   web前端学习中心      微信号：htz533023   \n",
       "\n",
       "                                                 img  \n",
       "0  http://mmbiz.qpic.cn/mmbiz_png/vO7l6lQ0BwpzagD...  \n",
       "1  http://mmbiz.qpic.cn/mmbiz_png/12xW2F2gt78dNqK...  \n",
       "2  http://mmbiz.qpic.cn/mmbiz_png/XVTalJrFDhDdLOP...  \n",
       "3  http://mmbiz.qpic.cn/mmbiz_png/85TgnGbEj5yHXKn...  \n",
       "4  http://mmbiz.qpic.cn/mmbiz_png/ficoicA1ic9FicM...  \n",
       "5  http://mmbiz.qpic.cn/mmbiz_png/KMM6ibady1rCXib...  \n",
       "6  http://mmbiz.qpic.cn/mmbiz_png/j9FPWpvW02vwr4x...  \n",
       "7  http://mmbiz.qpic.cn/mmbiz_png/Yy22NT7ibmsiaho...  \n",
       "8  http://mmbiz.qpic.cn/mmbiz_png/fdZCaeHKCh5wLsi...  \n",
       "9  http://mmbiz.qpic.cn/mmbiz_png/ddNezcXpmd4ygxg...  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_account"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<div class=\"weui-desktop-vm_primary\"><img src=\"http://mmbiz.qpic.cn/mmbiz_png/vO7l6lQ0BwpzagDic5ic5WETf0XOGVen5IUdYibPaDSTRP9m328K77wCCfOX39AHQUhbF1o4r9tk4Sqpax4D97WyA/0?wx_fmt=png\" class=\"inner_link_account_avatar\"> <strong class=\"inner_link_account_nickname\">web前端学习圈</strong> <i class=\"inner_link_account_wechat\">微信号：web-xxq</i></div> <div class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div>\n"
     ]
    }
   ],
   "source": [
    "element = driver.find_element_by_xpath('//ul[@class=\"inner_link_account_list\"]/li[1]')\n",
    "main_content = element.get_attribute('innerHTML')\n",
    "print(main_content)\n",
    "element.click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 跳转testing\n",
    "\n",
    "# 跳转_input = driver.find_element_by_xpath('//span[@class=\"weui-desktop-pagination__form\"]/input')\n",
    "# 跳转_a = driver.find_element_by_xpath('//span[@class=\"weui-desktop-pagination__form\"]/a')\n",
    "# 跳转_input.clear()\n",
    "# 跳转_input.send_keys(3)\n",
    "# 跳转_a.click()\n",
    "#点击跳转=driver.find_element_by_xpath('//span[@class=\"weui-desktop-pagination__nav\"]/a[2]').click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 54]\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "# 跳转上限\n",
    "l_e = driver.find_elements_by_xpath('//label[@class=\"weui-desktop-pagination__num\"]')\n",
    "l_e_int  = [int(x.text) for x in l_e] \n",
    "print (l_e_int)\n",
    "print (l_e_int[0]==l_e_int[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2]\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54]\n"
     ]
    }
   ],
   "source": [
    "pages = list(range(l_e_int[0],l_e_int[-1]+1 ))\n",
    "print(pages[0:2])\n",
    "#利用range()循环输出并转化为列表\n",
    "#pages = list(range(1, 100))#l_e_int[-1]+1\n",
    "print(pages)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 循环/遍历"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# global varialbes \n",
    "html_raw = dict()\n",
    "main_content =\"\"\n",
    "element = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pages=list(range(1))\n",
    "# pages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\t2\t3\t4\t5\t6\t7\t8\t9\t10\t11\t12\t13\t14\t15\t16\t17\t18\t19\t20\t21\t22\t23\t24\t25\t26\t27\t28\t29\t30\t31\t32\t33\t34\t35\t36\t37\t38\t39\t40\t41\t42\t43\t44\t45\t46\t47\t48\t49\t50\t51\t52\t53\t54\t"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>html_snippets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        html_snippets\n",
       "1   <div><label class=\"inner_link_article_item\"><s...\n",
       "2   <div><label class=\"inner_link_article_item\"><s...\n",
       "3   <div><label class=\"inner_link_article_item\"><s...\n",
       "4   <div><label class=\"inner_link_article_item\"><s...\n",
       "5   <div><label class=\"inner_link_article_item\"><s...\n",
       "6   <div><label class=\"inner_link_article_item\"><s...\n",
       "7   <div><label class=\"inner_link_article_item\"><s...\n",
       "8   <div><label class=\"inner_link_article_item\"><s...\n",
       "9   <div><label class=\"inner_link_article_item\"><s...\n",
       "10  <div><label class=\"inner_link_article_item\"><s...\n",
       "11  <div><label class=\"inner_link_article_item\"><s...\n",
       "12  <div><label class=\"inner_link_article_item\"><s...\n",
       "13  <div><label class=\"inner_link_article_item\"><s...\n",
       "14  <div><label class=\"inner_link_article_item\"><s...\n",
       "15  <div><label class=\"inner_link_article_item\"><s...\n",
       "16  <div><label class=\"inner_link_article_item\"><s...\n",
       "17  <div><label class=\"inner_link_article_item\"><s...\n",
       "18  <div><label class=\"inner_link_article_item\"><s...\n",
       "19  <div><label class=\"inner_link_article_item\"><s...\n",
       "20  <div><label class=\"inner_link_article_item\"><s...\n",
       "21  <div><label class=\"inner_link_article_item\"><s...\n",
       "22  <div><label class=\"inner_link_article_item\"><s...\n",
       "23  <div><label class=\"inner_link_article_item\"><s...\n",
       "24  <div><label class=\"inner_link_article_item\"><s...\n",
       "25  <div><label class=\"inner_link_article_item\"><s...\n",
       "26  <div><label class=\"inner_link_article_item\"><s...\n",
       "27  <div><label class=\"inner_link_article_item\"><s...\n",
       "28  <div><label class=\"inner_link_article_item\"><s...\n",
       "29  <div><label class=\"inner_link_article_item\"><s...\n",
       "30  <div><label class=\"inner_link_article_item\"><s...\n",
       "31  <div><label class=\"inner_link_article_item\"><s...\n",
       "32  <div><label class=\"inner_link_article_item\"><s...\n",
       "33  <div><label class=\"inner_link_article_item\"><s...\n",
       "34  <div><label class=\"inner_link_article_item\"><s...\n",
       "35  <div><label class=\"inner_link_article_item\"><s...\n",
       "36  <div><label class=\"inner_link_article_item\"><s...\n",
       "37  <div><label class=\"inner_link_article_item\"><s...\n",
       "38  <div><label class=\"inner_link_article_item\"><s...\n",
       "39  <div><label class=\"inner_link_article_item\"><s...\n",
       "40  <div><label class=\"inner_link_article_item\"><s...\n",
       "41  <div><label class=\"inner_link_article_item\"><s...\n",
       "42  <div><label class=\"inner_link_article_item\"><s...\n",
       "43  <div><label class=\"inner_link_article_item\"><s...\n",
       "44  <div><label class=\"inner_link_article_item\"><s...\n",
       "45  <div><label class=\"inner_link_article_item\"><s...\n",
       "46  <div><label class=\"inner_link_article_item\"><s...\n",
       "47  <div><label class=\"inner_link_article_item\"><s...\n",
       "48  <div><label class=\"inner_link_article_item\"><s...\n",
       "49  <div><label class=\"inner_link_article_item\"><s...\n",
       "50  <div><label class=\"inner_link_article_item\"><s...\n",
       "51  <div><label class=\"inner_link_article_item\"><s...\n",
       "52  <div><label class=\"inner_link_article_item\"><s...\n",
       "53  <div><label class=\"inner_link_article_item\"><s...\n",
       "54  <div><label class=\"inner_link_article_item\"><s..."
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def process_pages (pages):\n",
    "    for p in pages:\n",
    "        print (p,end='\\t')\n",
    "            #找到跳转输入框并填入数字\n",
    "        跳转_input = driver.find_element_by_xpath('//span[@class=\"weui-desktop-pagination__form\"]/input')\n",
    "        跳转_a = driver.find_element_by_xpath('//span[@class=\"weui-desktop-pagination__form\"]/a')\n",
    "        #先清空\n",
    "        跳转_input.clear()\n",
    "        跳转_input.send_keys(p)\n",
    "        跳转_a.click()\n",
    "#         time.sleep(3)\n",
    "        time.sleep(35+100*random())\n",
    "        #某个公众号信息\n",
    "        element = driver.find_element_by_xpath('//div[@class=\"inner_link_article_list\"]')\n",
    "        main_content = element.get_attribute('innerHTML')\n",
    "        #print(main_content)\n",
    "        html_raw[p] = main_content\n",
    "process_pages(pages)   \n",
    "df = pd.DataFrame([html_raw]).T\n",
    "df.columns = [\"html_snippets\"]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>html_snippets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       html_snippets\n",
       "0  <div><label class=\"inner_link_article_item\"><s..."
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stored 'html_raw' (dict)\n"
     ]
    }
   ],
   "source": [
    "%store html_raw\n",
    "import pickle \n",
    "filehandler = open(\"html_raw\", 'wb') #'wb'二进制写入；#读写模式:r只读,r+读写,w新建(会覆盖原有文件),a追加,b二进制文件.常用模式\n",
    "#将obj对象的编码pickle编码表示写入到文件对象中，相当于Pickler(file,protocol).dump(obj)\n",
    "#pickle.dump（obj，file，protocol = None，*，fix_imports = True ）\n",
    "#将obj对象序列化存入已经打开的file中。\n",
    "# pickle.load(file)\n",
    "# 函数的功能：将file中的对象序列化读出。\n",
    "pickle.dump(html_raw, filehandler)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>html_snippets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        html_snippets\n",
       "1   <div><label class=\"inner_link_article_item\"><s...\n",
       "2   <div><label class=\"inner_link_article_item\"><s...\n",
       "3   <div><label class=\"inner_link_article_item\"><s...\n",
       "4   <div><label class=\"inner_link_article_item\"><s...\n",
       "5   <div><label class=\"inner_link_article_item\"><s...\n",
       "6   <div><label class=\"inner_link_article_item\"><s...\n",
       "7   <div><label class=\"inner_link_article_item\"><s...\n",
       "8   <div><label class=\"inner_link_article_item\"><s...\n",
       "9   <div><label class=\"inner_link_article_item\"><s...\n",
       "10  <div><label class=\"inner_link_article_item\"><s...\n",
       "11  <div><label class=\"inner_link_article_item\"><s...\n",
       "13  <div><label class=\"inner_link_article_item\"><s...\n",
       "14  <div><label class=\"inner_link_article_item\"><s...\n",
       "15  <div><label class=\"inner_link_article_item\"><s...\n",
       "16  <div><label class=\"inner_link_article_item\"><s...\n",
       "17  <div><label class=\"inner_link_article_item\"><s...\n",
       "18  <div><label class=\"inner_link_article_item\"><s...\n",
       "19  <div><label class=\"inner_link_article_item\"><s...\n",
       "20  <div><label class=\"inner_link_article_item\"><s...\n",
       "21  <div><label class=\"inner_link_article_item\"><s...\n",
       "22  <div><label class=\"inner_link_article_item\"><s...\n",
       "23  <div><label class=\"inner_link_article_item\"><s...\n",
       "24  <div><label class=\"inner_link_article_item\"><s...\n",
       "25  <div><label class=\"inner_link_article_item\"><s...\n",
       "26  <div><label class=\"inner_link_article_item\"><s...\n",
       "27  <div><label class=\"inner_link_article_item\"><s...\n",
       "28  <div><label class=\"inner_link_article_item\"><s...\n",
       "29  <div><label class=\"inner_link_article_item\"><s...\n",
       "30  <div><label class=\"inner_link_article_item\"><s...\n",
       "31  <div><label class=\"inner_link_article_item\"><s...\n",
       "32  <div><label class=\"inner_link_article_item\"><s...\n",
       "33  <div><label class=\"inner_link_article_item\"><s...\n",
       "34  <div><label class=\"inner_link_article_item\"><s...\n",
       "35  <div><label class=\"inner_link_article_item\"><s...\n",
       "36  <div><label class=\"inner_link_article_item\"><s...\n",
       "37  <div><label class=\"inner_link_article_item\"><s...\n",
       "38  <div><label class=\"inner_link_article_item\"><s...\n",
       "39  <div><label class=\"inner_link_article_item\"><s...\n",
       "40  <div><label class=\"inner_link_article_item\"><s...\n",
       "41  <div><label class=\"inner_link_article_item\"><s...\n",
       "42  <div><label class=\"inner_link_article_item\"><s...\n",
       "43  <div><label class=\"inner_link_article_item\"><s...\n",
       "44  <div><label class=\"inner_link_article_item\"><s...\n",
       "45  <div><label class=\"inner_link_article_item\"><s...\n",
       "46  <div><label class=\"inner_link_article_item\"><s...\n",
       "47  <div><label class=\"inner_link_article_item\"><s...\n",
       "48  <div><label class=\"inner_link_article_item\"><s...\n",
       "49  <div><label class=\"inner_link_article_item\"><s...\n",
       "50  <div><label class=\"inner_link_article_item\"><s...\n",
       "51  <div><label class=\"inner_link_article_item\"><s...\n",
       "52  <div><label class=\"inner_link_article_item\"><s...\n",
       "53  <div><label class=\"inner_link_article_item\"><s...\n",
       "54  <div><label class=\"inner_link_article_item\"><s..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "53\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>html_snippets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        html_snippets\n",
       "12  <div><label class=\"inner_link_article_item\"><s..."
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#duplicated()是对整行进行查重,返回重复了的数据，且只显示n-1条重复的数据（n是重复的次数）\n",
    "#drop_duplicates()函数是将所有重复的数据都去掉了，且默认保留重复数据的第一条。\n",
    "#~表示取反\n",
    "df_out = df[~df.duplicated()]\n",
    "display(df_out)\n",
    "print (len(df_out))\n",
    "df[df.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>html_snippets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        html_snippets\n",
       "12  <div><label class=\"inner_link_article_item\"><s..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[12]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[12]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "try_again = list(df[df.duplicated()].index)\n",
    "display(df[df.duplicated()])\n",
    "print(try_again)\n",
    "try_again = try_again + list (set(pages).difference(set(df.index.values)))\n",
    "display(try_again)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.loc[0,\"html_snippets\"]\n",
    "# p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 暂存档"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = fn [\"output\"] [\"公众号_htm_snippets\"] \n",
    "#df_out.to_csv(filename.format(公众号=公众号), sep=\"\\t\", encoding=\"utf8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>用英雄联盟的方式讲解JavaScript设计模式！</td>\n",
       "      <td>2020-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端高频面试题整理 前端两年-月入30K</td>\n",
       "      <td>2020-05-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>前端进阶高薪必看-手写源码篇</td>\n",
       "      <td>2020-05-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>纯 HTML+CSS+JS 编写的计算器应用</td>\n",
       "      <td>2020-05-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>面试官：说说原型链和继承吧</td>\n",
       "      <td>2020-05-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       title create_time  \\\n",
       "0  用英雄联盟的方式讲解JavaScript设计模式！  2020-05-16   \n",
       "1       前端高频面试题整理 前端两年-月入30K  2020-05-15   \n",
       "2             前端进阶高薪必看-手写源码篇  2020-05-14   \n",
       "3     纯 HTML+CSS+JS 编写的计算器应用  2020-05-12   \n",
       "4              面试官：说说原型链和继承吧  2020-05-11   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  "
      ]
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>前端需要了解的计算机网络知识， 这一篇就够了！(图文并茂，万字长文，点赞收藏哦！)</td>\n",
       "      <td>2020-03-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>小菜鸡面试の初体验，自闭路上渐行渐远......</td>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>从事前端半年，我是这样看待三大框架的</td>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>为前端工程之崛起而编程</td>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>太难了！关于程序员的43个梗，你知道多少呢</td>\n",
       "      <td>2020-02-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       title create_time  \\\n",
       "0  前端需要了解的计算机网络知识， 这一篇就够了！(图文并茂，万字长文，点赞收藏哦！)  2020-03-07   \n",
       "1                   小菜鸡面试の初体验，自闭路上渐行渐远......  2020-03-01   \n",
       "2                         从事前端半年，我是这样看待三大框架的  2020-02-29   \n",
       "3                                为前端工程之崛起而编程  2020-02-28   \n",
       "4                      太难了！关于程序员的43个梗，你知道多少呢  2020-02-27   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     2  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     2  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     2  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     2  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     2  "
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>【每天两小时】手撸象棋的第一天</td>\n",
       "      <td>2020-05-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>【地狱难度】面试官：你可以用纯 CSS 判断鼠标进入的方向吗？</td>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>一位00后前端2年经验的成长历程</td>\n",
       "      <td>2020-04-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>记一次 微前端 qiankun 项目 实践 !!! 防踩坑指南</td>\n",
       "      <td>2020-04-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>我写CSS的常用套路(附demo的效果实现与源码）</td>\n",
       "      <td>2020-04-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             title create_time  \\\n",
       "0                  【每天两小时】手撸象棋的第一天  2020-05-01   \n",
       "1  【地狱难度】面试官：你可以用纯 CSS 判断鼠标进入的方向吗？  2020-04-30   \n",
       "2                 一位00后前端2年经验的成长历程  2020-04-29   \n",
       "3  记一次 微前端 qiankun 项目 实践 !!! 防踩坑指南  2020-04-28   \n",
       "4        我写CSS的常用套路(附demo的效果实现与源码）  2020-04-27   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     3  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     3  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     3  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     3  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     3  "
      ]
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       "\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>案例｜原生手写一个轮播图——渐隐渐显版</td>\n",
       "      <td>2020-04-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>解密初、中、高级程序员的进化之路（前端）</td>\n",
       "      <td>2020-04-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>使用 React Hooks 实现仿石墨的图片预览插件（巨详细）</td>\n",
       "      <td>2020-04-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>前端渣渣的我再也不敢说我会写Button组件了</td>\n",
       "      <td>2020-04-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>阿里巴巴盒马前端上岸总结</td>\n",
       "      <td>2020-04-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "                              title create_time  \\\n",
       "0               案例｜原生手写一个轮播图——渐隐渐显版  2020-04-26   \n",
       "1              解密初、中、高级程序员的进化之路（前端）  2020-04-25   \n",
       "2  使用 React Hooks 实现仿石墨的图片预览插件（巨详细）  2020-04-24   \n",
       "3           前端渣渣的我再也不敢说我会写Button组件了  2020-04-22   \n",
       "4                      阿里巴巴盒马前端上岸总结  2020-04-20   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     4  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     4  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     4  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     4  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     4  "
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>作为毕业生的我在钉钉这一年的成长之路</td>\n",
       "      <td>2020-04-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9张看面试题也写不出来的CSS图案！</td>\n",
       "      <td>2020-04-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>别高估自己，这道题，有点难！</td>\n",
       "      <td>2020-04-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>给你一份详细的CSS布局指南，请查收</td>\n",
       "      <td>2020-04-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>三年前端面试经验加感悟</td>\n",
       "      <td>2020-04-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>5</td>\n",
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       "                title create_time  \\\n",
       "0  作为毕业生的我在钉钉这一年的成长之路  2020-04-18   \n",
       "1  9张看面试题也写不出来的CSS图案！  2020-04-17   \n",
       "2      别高估自己，这道题，有点难！  2020-04-14   \n",
       "3  给你一份详细的CSS布局指南，请查收  2020-04-13   \n",
       "4         三年前端面试经验加感悟  2020-04-11   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     5  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     5  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     5  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     5  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     5  "
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>美团点评 - 到店事业群 前端面经（3轮技术面+hr面）</td>\n",
       "      <td>2020-04-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>阿里P7：你了解路由吗？</td>\n",
       "      <td>2020-04-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CSS实现一个粒子动效的按钮</td>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>从阿里、腾讯的面试真题中总结了这11个Redis高频面试题</td>\n",
       "      <td>2020-04-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>前端Bven同学的春招总结(已拿微信offer，阿里offer审批中，美团继续等待HR面)</td>\n",
       "      <td>2020-04-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           title create_time  \\\n",
       "0                   美团点评 - 到店事业群 前端面经（3轮技术面+hr面）  2020-04-10   \n",
       "1                                   阿里P7：你了解路由吗？  2020-04-09   \n",
       "2                                 CSS实现一个粒子动效的按钮  2020-04-08   \n",
       "3                  从阿里、腾讯的面试真题中总结了这11个Redis高频面试题  2020-04-07   \n",
       "4  前端Bven同学的春招总结(已拿微信offer，阿里offer审批中，美团继续等待HR面)  2020-04-06   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     6  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     6  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     6  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     6  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     6  "
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>你需掌握的CSS知识都在这了（长文建议收藏，文末有福利）</td>\n",
       "      <td>2020-04-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>非科班二本前端大厂面试的心路历程和总结（腾讯、头条、阿里、京东）</td>\n",
       "      <td>2020-04-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>前端生产方式：过去 10 年回顾和未来 10 年展望</td>\n",
       "      <td>2020-03-31</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>剖析一些经典的CSS布局问题，为前端开发+面试保驾护航</td>\n",
       "      <td>2020-03-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>React实战之React+Redux实现一个天气预报小项目</td>\n",
       "      <td>2020-03-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
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       "                              title create_time  \\\n",
       "0      你需掌握的CSS知识都在这了（长文建议收藏，文末有福利）  2020-04-05   \n",
       "1  非科班二本前端大厂面试的心路历程和总结（腾讯、头条、阿里、京东）  2020-04-02   \n",
       "2        前端生产方式：过去 10 年回顾和未来 10 年展望  2020-03-31   \n",
       "3       剖析一些经典的CSS布局问题，为前端开发+面试保驾护航  2020-03-30   \n",
       "4    React实战之React+Redux实现一个天气预报小项目  2020-03-29   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     7  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     7  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     7  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     7  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     7  "
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       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>【前端面试】同学，你会手写代码吗？</td>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>阿里盒马、腾讯小程序团队 —— 小菜鸡自闭の面经（等HRing...）</td>\n",
       "      <td>2020-03-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>阿里淘系前端面经(五轮技术面)</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>一盏茶的时间，快速捕获JS中常用的方法（细心整理，持续更新ing）</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Canvas实现图片上标注、缩放、移动和保存历史状态，纯干货（附css3变化公式）</td>\n",
       "      <td>2020-03-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
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       "                                       title create_time  \\\n",
       "0                          【前端面试】同学，你会手写代码吗？  2020-03-28   \n",
       "1        阿里盒马、腾讯小程序团队 —— 小菜鸡自闭の面经（等HRing...）  2020-03-27   \n",
       "2                            阿里淘系前端面经(五轮技术面)  2020-03-26   \n",
       "3          一盏茶的时间，快速捕获JS中常用的方法（细心整理，持续更新ing）  2020-03-25   \n",
       "4  Canvas实现图片上标注、缩放、移动和保存历史状态，纯干货（附css3变化公式）  2020-03-24   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     8  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     8  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     8  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     8  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     8  "
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020面试收获 - js原型及原型链</td>\n",
       "      <td>2020-03-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CSS 火焰？不在话下</td>\n",
       "      <td>2020-03-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3000字说说跨域！面试官听完之后露出了满意的笑容</td>\n",
       "      <td>2020-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>震惊,canvas文字粒子效果，只需要100行代码，简单易懂。</td>\n",
       "      <td>2020-03-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>一年半前端跳槽面试经验（头条、微信、shopee）</td>\n",
       "      <td>2020-03-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>9</td>\n",
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       "                             title create_time  \\\n",
       "0              2020面试收获 - js原型及原型链  2020-03-23   \n",
       "1                      CSS 火焰？不在话下  2020-03-22   \n",
       "2        3000字说说跨域！面试官听完之后露出了满意的笑容  2020-03-21   \n",
       "3  震惊,canvas文字粒子效果，只需要100行代码，简单易懂。  2020-03-20   \n",
       "4        一年半前端跳槽面试经验（头条、微信、shopee）  2020-03-19   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     9  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     9  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     9  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     9  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     9  "
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>美团旅行前端技术体系的思考与实践</td>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>你需掌握的CSS知识都在这了（长文建议收藏，文末有福利）</td>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TypeScript:拥有超能力的JavaScript</td>\n",
       "      <td>2020-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>天天都用CSS，你真的懂CSS吗？</td>\n",
       "      <td>2020-03-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>字节跳动今日头条前端面经（4轮技术面+hr面）</td>\n",
       "      <td>2020-03-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>10</td>\n",
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      "text/plain": [
       "                          title create_time  \\\n",
       "0              美团旅行前端技术体系的思考与实践  2020-03-18   \n",
       "1  你需掌握的CSS知识都在这了（长文建议收藏，文末有福利）  2020-03-16   \n",
       "2   TypeScript:拥有超能力的JavaScript  2020-03-15   \n",
       "3             天天都用CSS，你真的懂CSS吗？  2020-03-14   \n",
       "4       字节跳动今日头条前端面经（4轮技术面+hr面）  2020-03-13   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    10  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    10  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    10  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    10  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    10  "
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020疫情期间前端妹子面试小记(附答案)</td>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>进入大厂的面试经验（P7）</td>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020 校招，我是如何拿到小米、京东、字节大厂前端offer</td>\n",
       "      <td>2020-03-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>字节跳动 前端校招 一二三面+hr面</td>\n",
       "      <td>2020-03-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>前端疫情下个人面试总结，目前找到合适的offer（B轮融资，人工智能行业），薪资保密。之前看...</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
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       "                                               title create_time  \\\n",
       "0                              2020疫情期间前端妹子面试小记(附答案)  2020-03-12   \n",
       "1                                      进入大厂的面试经验（P7）  2020-03-11   \n",
       "2                    2020 校招，我是如何拿到小米、京东、字节大厂前端offer  2020-03-10   \n",
       "3                                 字节跳动 前端校招 一二三面+hr面  2020-03-09   \n",
       "4  前端疫情下个人面试总结，目前找到合适的offer（B轮融资，人工智能行业），薪资保密。之前看...  2020-03-08   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    11  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    11  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    11  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    11  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    11  "
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       "      <th>0</th>\n",
       "      <td>前端需要了解的计算机网络知识， 这一篇就够了！(图文并茂，万字长文，点赞收藏哦！)</td>\n",
       "      <td>2020-03-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>小菜鸡面试の初体验，自闭路上渐行渐远......</td>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>从事前端半年，我是这样看待三大框架的</td>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>为前端工程之崛起而编程</td>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>太难了！关于程序员的43个梗，你知道多少呢</td>\n",
       "      <td>2020-02-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
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       "                                       title create_time  \\\n",
       "0  前端需要了解的计算机网络知识， 这一篇就够了！(图文并茂，万字长文，点赞收藏哦！)  2020-03-07   \n",
       "1                   小菜鸡面试の初体验，自闭路上渐行渐远......  2020-03-01   \n",
       "2                         从事前端半年，我是这样看待三大框架的  2020-02-29   \n",
       "3                                为前端工程之崛起而编程  2020-02-28   \n",
       "4                      太难了！关于程序员的43个梗，你知道多少呢  2020-02-27   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    12  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    12  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    12  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    12  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    12  "
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       "      <td>2020-02-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>13</td>\n",
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       "      <th>1</th>\n",
       "      <td>一个小白的四次前端面试经历</td>\n",
       "      <td>2020-02-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>13</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1995年的资深工程师，和你谈谈如何进阶</td>\n",
       "      <td>2020-02-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>巧妙实现带圆角的渐变边框</td>\n",
       "      <td>2020-02-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>13</td>\n",
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       "      <th>4</th>\n",
       "      <td>初、中级前端应该要掌握的手写代码实现</td>\n",
       "      <td>2020-01-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>13</td>\n",
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       "                       title create_time  \\\n",
       "0  ThoughtWorks 2020届校招 前端凉经  2020-02-26   \n",
       "1              一个小白的四次前端面试经历  2020-02-21   \n",
       "2       1995年的资深工程师，和你谈谈如何进阶  2020-02-20   \n",
       "3               巧妙实现带圆角的渐变边框  2020-02-19   \n",
       "4         初、中级前端应该要掌握的手写代码实现  2020-01-21   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    13  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    13  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    13  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    13  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    13  "
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       "      <th>0</th>\n",
       "      <td>80%的前端会答错的问题：&lt;img&gt;是什么元素？</td>\n",
       "      <td>2020-01-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>你是什么垃圾？</td>\n",
       "      <td>2020-01-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>谈谈这次试用期“被”离职和感悟（大前端组）</td>\n",
       "      <td>2020-01-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>用 Web 实现一个简易的音频编辑器</td>\n",
       "      <td>2020-01-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>【前端面试】同学，你会手写代码吗？</td>\n",
       "      <td>2020-01-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>14</td>\n",
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       "                      title create_time  \\\n",
       "0  80%的前端会答错的问题：<img>是什么元素？  2020-01-20   \n",
       "1                   你是什么垃圾？  2020-01-17   \n",
       "2     谈谈这次试用期“被”离职和感悟（大前端组）  2020-01-10   \n",
       "3        用 Web 实现一个简易的音频编辑器  2020-01-09   \n",
       "4         【前端面试】同学，你会手写代码吗？  2020-01-08   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    14  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    14  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    14  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    14  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    14  "
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       "      <th>0</th>\n",
       "      <td>回顾2019，一段从前端到全栈的艰辛旅程</td>\n",
       "      <td>2020-01-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020年了，12道高频 JavaScript 手写面试题及答案</td>\n",
       "      <td>2020-01-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JS 无形装逼，最为致命</td>\n",
       "      <td>2020-01-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>震惊！拉动一下控制台大小，后台请求数量爆炸，竟是没做好防抖与节流！！</td>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>重整旗鼓，2019自结前端面试小册【CSS篇】</td>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>15</td>\n",
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       "                                title create_time  \\\n",
       "0                回顾2019，一段从前端到全栈的艰辛旅程  2020-01-07   \n",
       "1    2020年了，12道高频 JavaScript 手写面试题及答案  2020-01-06   \n",
       "2                        JS 无形装逼，最为致命  2020-01-05   \n",
       "3  震惊！拉动一下控制台大小，后台请求数量爆炸，竟是没做好防抖与节流！！  2020-01-04   \n",
       "4             重整旗鼓，2019自结前端面试小册【CSS篇】  2020-01-02   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    15  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    15  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    15  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    15  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    15  "
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>前端练习生的2019总结2020展望</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>我写CSS的常用套路</td>\n",
       "      <td>2019-12-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JavaScript 那些写出来会被同事揍的骚操作</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>蘑菇街PC首页瀑布流实践</td>\n",
       "      <td>2019-12-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>巧用 CSS 实现酷炫的充电动画</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "                       title create_time  \\\n",
       "0         前端练习生的2019总结2020展望  2020-01-01   \n",
       "1                 我写CSS的常用套路  2019-12-30   \n",
       "2  JavaScript 那些写出来会被同事揍的骚操作  2019-12-29   \n",
       "3               蘑菇街PC首页瀑布流实践  2019-12-28   \n",
       "4           巧用 CSS 实现酷炫的充电动画  2019-12-25   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    16  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    16  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    16  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    16  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    16  "
      ]
     },
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>【面试流水账】一年半经验前端年底求职路</td>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>将前端技术栈移植到掌上游戏机</td>\n",
       "      <td>2019-12-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>web开发2020年趋势分析（概转）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>这样回答继承，面试官可能更满意</td>\n",
       "      <td>2019-12-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>还在写那些让人头皮发麻的代码吗？</td>\n",
       "      <td>2019-12-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 title create_time  \\\n",
       "0  【面试流水账】一年半经验前端年底求职路  2019-12-23   \n",
       "1       将前端技术栈移植到掌上游戏机  2019-12-19   \n",
       "2   web开发2020年趋势分析（概转）  2019-12-10   \n",
       "3      这样回答继承，面试官可能更满意  2019-12-05   \n",
       "4     还在写那些让人头皮发麻的代码吗？  2019-12-02   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    17  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    17  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    17  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    17  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    17  "
      ]
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>记一次腾讯社招前端面试（已拿到offer入职）</td>\n",
       "      <td>2019-11-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5行代码带你实现一个js的打字效果</td>\n",
       "      <td>2019-11-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>哦？原来这就是闭包啊！从执行机制层面彻底理解闭包</td>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>面试官：你能实现多少种水平垂直居中的布局（定宽高和不定宽高）</td>\n",
       "      <td>2019-11-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CSS 技巧一则 -- 在 CSS 中使用三角函数绘制曲线图形及展示动画</td>\n",
       "      <td>2019-11-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  title create_time  \\\n",
       "0               记一次腾讯社招前端面试（已拿到offer入职）  2019-11-29   \n",
       "1                     5行代码带你实现一个js的打字效果  2019-11-28   \n",
       "2              哦？原来这就是闭包啊！从执行机制层面彻底理解闭包  2019-11-27   \n",
       "3        面试官：你能实现多少种水平垂直居中的布局（定宽高和不定宽高）  2019-11-26   \n",
       "4  CSS 技巧一则 -- 在 CSS 中使用三角函数绘制曲线图形及展示动画  2019-11-25   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    18  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    18  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    18  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    18  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    18  "
      ]
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>快速上手网易云音乐可视化</td>\n",
       "      <td>2019-11-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>JS操作小技巧，工作简单了</td>\n",
       "      <td>2019-11-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1小时搞定卡片拖拽、自动排列交换位置、拖拽数据存取</td>\n",
       "      <td>2019-11-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>听说会做这道题的人后来都进了头条？</td>\n",
       "      <td>2019-11-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>你还没学会javascript原型和原型链吗？</td>\n",
       "      <td>2019-11-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       title create_time  \\\n",
       "0               快速上手网易云音乐可视化  2019-11-24   \n",
       "1              JS操作小技巧，工作简单了  2019-11-21   \n",
       "2  1小时搞定卡片拖拽、自动排列交换位置、拖拽数据存取  2019-11-19   \n",
       "3          听说会做这道题的人后来都进了头条？  2019-11-17   \n",
       "4    你还没学会javascript原型和原型链吗？  2019-11-14   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    19  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    19  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    19  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    19  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    19  "
      ]
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>封装vue插件，读懂这遍文章就够了</td>\n",
       "      <td>2019-11-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>必考知识点-JavaScript类型转换（讲原理）</td>\n",
       "      <td>2019-11-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>一张图理清 Vue 3.0 的响应式系统</td>\n",
       "      <td>2019-11-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>一道网红面试题（腾讯、百度面试中都出现过）</td>\n",
       "      <td>2019-11-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>面试官：你能实现多少种水平垂直居中的布局（定宽高和不定宽高）</td>\n",
       "      <td>2019-10-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            title create_time  \\\n",
       "0               封装vue插件，读懂这遍文章就够了  2019-11-11   \n",
       "1       必考知识点-JavaScript类型转换（讲原理）  2019-11-10   \n",
       "2            一张图理清 Vue 3.0 的响应式系统  2019-11-09   \n",
       "3           一道网红面试题（腾讯、百度面试中都出现过）  2019-11-07   \n",
       "4  面试官：你能实现多少种水平垂直居中的布局（定宽高和不定宽高）  2019-10-30   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    20  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    20  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    20  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    20  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    20  "
      ]
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       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>如果你想搭建一个博客</td>\n",
       "      <td>2019-10-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Node.js 实现抢票小工具&amp;短信通知提醒</td>\n",
       "      <td>2019-10-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>面试时面试官想要听到什么答案（关于一些vue的问题）</td>\n",
       "      <td>2019-10-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>一行css代码搞定响应式布局</td>\n",
       "      <td>2019-10-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>你所不知道的 CSS 负值技巧与细节</td>\n",
       "      <td>2019-10-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        title create_time  \\\n",
       "0                  如果你想搭建一个博客  2019-10-29   \n",
       "1      Node.js 实现抢票小工具&短信通知提醒  2019-10-24   \n",
       "2  面试时面试官想要听到什么答案（关于一些vue的问题）  2019-10-22   \n",
       "3              一行css代码搞定响应式布局  2019-10-21   \n",
       "4          你所不知道的 CSS 负值技巧与细节  2019-10-20   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    21  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    21  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    21  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    21  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    21  "
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       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9分钟，搞明白闭包</td>\n",
       "      <td>2019-10-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>js史上最精简！防抖节流（你的比我精简，算我输）。</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>“寒冬”三年经验前端面试总结（含头条、百度、饿了么、滴滴等）</td>\n",
       "      <td>2019-10-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>看完这篇还不清楚缓存，求你打我（有彩蛋）</td>\n",
       "      <td>2019-10-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5分钟带你领略：写一个二分查找为什么让面试者挂的这么惨？</td>\n",
       "      <td>2019-10-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            title create_time  \\\n",
       "0                       9分钟，搞明白闭包  2019-10-18   \n",
       "1       js史上最精简！防抖节流（你的比我精简，算我输）。  2019-10-17   \n",
       "2  “寒冬”三年经验前端面试总结（含头条、百度、饿了么、滴滴等）  2019-10-16   \n",
       "3            看完这篇还不清楚缓存，求你打我（有彩蛋）  2019-10-15   \n",
       "4    5分钟带你领略：写一个二分查找为什么让面试者挂的这么惨？  2019-10-03   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    22  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    22  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    22  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    22  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    22  "
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019大龄前端如何准备面试？</td>\n",
       "      <td>2019-09-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Vue 项目性能优化 — 实践指南（网上最全 / 详细）</td>\n",
       "      <td>2019-08-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>这些JavaScript编程黑科技，装逼指南，高逼格代码，让你惊叹不已</td>\n",
       "      <td>2019-08-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>你所不知道的 CSS 负值技巧与细节</td>\n",
       "      <td>2019-08-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>微信H5页面前端开发，大多数人都会遇到的几个兼容性坑</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "                                 title create_time  \\\n",
       "0                      2019大龄前端如何准备面试？  2019-09-21   \n",
       "1         Vue 项目性能优化 — 实践指南（网上最全 / 详细）  2019-08-18   \n",
       "2  这些JavaScript编程黑科技，装逼指南，高逼格代码，让你惊叹不已  2019-08-13   \n",
       "3                   你所不知道的 CSS 负值技巧与细节  2019-08-08   \n",
       "4           微信H5页面前端开发，大多数人都会遇到的几个兼容性坑  2019-08-07   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    23  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    23  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    23  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    23  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    23  "
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       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>用Canvas画一只会跟着鼠标走的小狗</td>\n",
       "      <td>2019-08-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>小蝌蚪系列：三年大厂面试官——二面题（偏难）</td>\n",
       "      <td>2019-08-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>难得的一次技术面——终得小米offer</td>\n",
       "      <td>2019-08-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>我见过最好最详细的 JavaScript 关系的解释</td>\n",
       "      <td>2019-08-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>欲练JS，必先攻CSS——前端修行之路</td>\n",
       "      <td>2019-07-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "                        title create_time  \\\n",
       "0         用Canvas画一只会跟着鼠标走的小狗  2019-08-06   \n",
       "1      小蝌蚪系列：三年大厂面试官——二面题（偏难）  2019-08-05   \n",
       "2         难得的一次技术面——终得小米offer  2019-08-04   \n",
       "3  我见过最好最详细的 JavaScript 关系的解释  2019-08-03   \n",
       "4         欲练JS，必先攻CSS——前端修行之路  2019-07-30   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    24  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    24  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    24  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    24  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    24  "
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       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>一个程序员的五年总结，给你不一样的角度</td>\n",
       "      <td>2019-07-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>一年经验前端 杭州几家二线厂面试题梳理</td>\n",
       "      <td>2019-07-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>这篇文章, 让你了解 JavaScript 中的原型(基础篇-图文)</td>\n",
       "      <td>2019-07-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>苦逼程序员30岁离职创业2年有什么总结</td>\n",
       "      <td>2019-07-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>记美国面试经验，前端开发，提前预告，目前已经进背调了</td>\n",
       "      <td>2019-07-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "                                title create_time  \\\n",
       "0                 一个程序员的五年总结，给你不一样的角度  2019-07-29   \n",
       "1                 一年经验前端 杭州几家二线厂面试题梳理  2019-07-27   \n",
       "2  这篇文章, 让你了解 JavaScript 中的原型(基础篇-图文)  2019-07-26   \n",
       "3                 苦逼程序员30岁离职创业2年有什么总结  2019-07-25   \n",
       "4          记美国面试经验，前端开发，提前预告，目前已经进背调了  2019-07-24   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    25  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    25  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    25  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    25  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    25  "
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       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>常见的面试问题：【CSS】CSS盒模型</td>\n",
       "      <td>2019-07-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>面试官教你写简历之「实习/应届生简历」</td>\n",
       "      <td>2019-07-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>温故而知我不懂的CSS</td>\n",
       "      <td>2019-07-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>毕业一年左右的前端妹子面经总结</td>\n",
       "      <td>2019-07-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20道JS原理题助你面试一臂之力！</td>\n",
       "      <td>2019-07-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                 title create_time  \\\n",
       "0  常见的面试问题：【CSS】CSS盒模型  2019-07-23   \n",
       "1  面试官教你写简历之「实习/应届生简历」  2019-07-22   \n",
       "2          温故而知我不懂的CSS  2019-07-19   \n",
       "3      毕业一年左右的前端妹子面经总结  2019-07-18   \n",
       "4    20道JS原理题助你面试一臂之力！  2019-07-17   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    26  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    26  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    26  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    26  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    26  "
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>canvas飞机大战游戏案例</td>\n",
       "      <td>2019-07-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端必知必会ES5、ES6的7种继承</td>\n",
       "      <td>2019-07-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>工作中遇到的特殊CSS布局</td>\n",
       "      <td>2019-07-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>单标签！纯CSS实现动态晴阴雨雪</td>\n",
       "      <td>2019-07-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>前端入行两年--教会了我这些道理</td>\n",
       "      <td>2019-07-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                title create_time  \\\n",
       "0      canvas飞机大战游戏案例  2019-07-16   \n",
       "1  前端必知必会ES5、ES6的7种继承  2019-07-15   \n",
       "2       工作中遇到的特殊CSS布局  2019-07-13   \n",
       "3    单标签！纯CSS实现动态晴阴雨雪  2019-07-12   \n",
       "4    前端入行两年--教会了我这些道理  2019-07-10   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    27  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    27  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    27  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    27  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    27  "
      ]
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       "\n",
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       "\n",
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       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>技术路线：前端开发已进入深水区</td>\n",
       "      <td>2019-07-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>面试官教你写简历（有点干，慎入）</td>\n",
       "      <td>2019-07-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>新人成长：新人如何快速融入技术实力强的前端团队</td>\n",
       "      <td>2019-07-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[译]JS里我才知道的东西</td>\n",
       "      <td>2019-07-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>前端-埋点-理念-通识-浅谈</td>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     title create_time  \\\n",
       "0          技术路线：前端开发已进入深水区  2019-07-09   \n",
       "1         面试官教你写简历（有点干，慎入）  2019-07-08   \n",
       "2  新人成长：新人如何快速融入技术实力强的前端团队  2019-07-05   \n",
       "3            [译]JS里我才知道的东西  2019-07-04   \n",
       "4           前端-埋点-理念-通识-浅谈  2019-07-03   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    28  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    28  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    28  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    28  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    28  "
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Node.js 实现远程桌面监控</td>\n",
       "      <td>2019-07-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端面试送命题-JS三座大山</td>\n",
       "      <td>2019-06-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>原生JS快速实现拖放（drag and drop）效果</td>\n",
       "      <td>2019-06-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>混子前端所知道关于ES6的Generator</td>\n",
       "      <td>2019-06-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>我是这样让公司使用Node.js的</td>\n",
       "      <td>2019-06-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "                         title create_time  \\\n",
       "0             Node.js 实现远程桌面监控  2019-07-02   \n",
       "1               前端面试送命题-JS三座大山  2019-06-30   \n",
       "2  原生JS快速实现拖放（drag and drop）效果  2019-06-27   \n",
       "3       混子前端所知道关于ES6的Generator  2019-06-25   \n",
       "4            我是这样让公司使用Node.js的  2019-06-22   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    29  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    29  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    29  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    29  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    29  "
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       "\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>不可思议的纯 CSS 滚动进度条效果</td>\n",
       "      <td>2019-06-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-06-13 发布 这就是我的前端学习路线（大事件 + 时间轴倒序）（2016-7 至今）</td>\n",
       "      <td>2019-06-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8年前端开发的知识点沉淀(不知道会多少字，一直写下去吧...)</td>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019前端面试题--这样准备，拿不到offer算我输！</td>\n",
       "      <td>2019-06-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>职场瓶颈：2~4 年前端走出离职困境与舒适区</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
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       "                                               title create_time  \\\n",
       "0                                 不可思议的纯 CSS 滚动进度条效果  2019-06-21   \n",
       "1  2019-06-13 发布 这就是我的前端学习路线（大事件 + 时间轴倒序）（2016-7 至今）  2019-06-20   \n",
       "2                    8年前端开发的知识点沉淀(不知道会多少字，一直写下去吧...)  2019-06-19   \n",
       "3                       2019前端面试题--这样准备，拿不到offer算我输！  2019-06-15   \n",
       "4                             职场瓶颈：2~4 年前端走出离职困境与舒适区  2019-06-14   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    30  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    30  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    30  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    30  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    30  "
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       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>做人要善良，做技术要谦虚（非技术文章）</td>\n",
       "      <td>2019-06-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端面经分享 | 腾讯</td>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>『前端技术』相比后端是否只能打辅助?</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>如何实现一个下载进度条/播放进度条</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>关于裸辞，关于前端面试</td>\n",
       "      <td>2019-06-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 title create_time  \\\n",
       "0  做人要善良，做技术要谦虚（非技术文章）  2019-06-13   \n",
       "1          前端面经分享 | 腾讯  2019-06-12   \n",
       "2   『前端技术』相比后端是否只能打辅助?  2019-06-11   \n",
       "3    如何实现一个下载进度条/播放进度条  2019-06-09   \n",
       "4          关于裸辞，关于前端面试  2019-06-08   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    31  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    31  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    31  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    31  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    31  "
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019春招前端实习面经</td>\n",
       "      <td>2019-05-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>这可能是史上最全的CSS自适应布局总结</td>\n",
       "      <td>2019-05-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IE 浏览器有多烂？第一个就给跪了···</td>\n",
       "      <td>2019-05-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>如何学习 CSS</td>\n",
       "      <td>2019-05-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>写给想做前端的你</td>\n",
       "      <td>2019-05-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  title create_time  \\\n",
       "0          2019春招前端实习面经  2019-05-30   \n",
       "1   这可能是史上最全的CSS自适应布局总结  2019-05-25   \n",
       "2  IE 浏览器有多烂？第一个就给跪了···  2019-05-23   \n",
       "3              如何学习 CSS  2019-05-21   \n",
       "4              写给想做前端的你  2019-05-18   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    32  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    32  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    32  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    32  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    32  "
      ]
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       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(前端项目实战) 微信 H5音乐项目总结</td>\n",
       "      <td>2019-05-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>做了三年前端开发后，我选择回家创业</td>\n",
       "      <td>2019-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JS 无形装逼，最为致命</td>\n",
       "      <td>2019-05-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>JavaScript简史:从网景到前端框架三巨头</td>\n",
       "      <td>2019-05-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>一名合格前端工程师的自检清单</td>\n",
       "      <td>2019-05-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      title create_time  \\\n",
       "0      (前端项目实战) 微信 H5音乐项目总结  2019-05-17   \n",
       "1         做了三年前端开发后，我选择回家创业  2019-05-16   \n",
       "2              JS 无形装逼，最为致命  2019-05-11   \n",
       "3  JavaScript简史:从网景到前端框架三巨头  2019-05-07   \n",
       "4            一名合格前端工程师的自检清单  2019-05-06   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    33  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    33  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    33  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    33  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    33  "
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       "\n",
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       "    }\n",
       "</style>\n",
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       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>最后8个名额，【7天企业官网特训营】明日开营！</td>\n",
       "      <td>2019-04-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>“寒冬中”三年前端社招面试经验</td>\n",
       "      <td>2019-04-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>前端如何处理十万级别的大量数据</td>\n",
       "      <td>2019-04-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>头条前端实习岗凉经有感</td>\n",
       "      <td>2019-04-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>阿里春招前端面试（1）</td>\n",
       "      <td>2019-04-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>如何考评一名前端工程师</td>\n",
       "      <td>2019-04-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>如何让你的代码整洁漂亮？</td>\n",
       "      <td>2019-04-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     title create_time  \\\n",
       "0  最后8个名额，【7天企业官网特训营】明日开营！  2019-04-21   \n",
       "1          “寒冬中”三年前端社招面试经验  2019-04-19   \n",
       "2          前端如何处理十万级别的大量数据  2019-04-18   \n",
       "3              头条前端实习岗凉经有感  2019-04-17   \n",
       "4              阿里春招前端面试（1）  2019-04-13   \n",
       "5              如何考评一名前端工程师  2019-04-13   \n",
       "6             如何让你的代码整洁漂亮？  2019-04-13   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    34  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    34  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    34  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    34  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    34  \n",
       "5  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    34  \n",
       "6  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    34  "
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       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>一个 1年工作经验的 PHP 程序员是如何被面试官虐的？</td>\n",
       "      <td>2019-04-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端之未来</td>\n",
       "      <td>2019-04-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>小菜前端的技术栈是如何规划和演进的</td>\n",
       "      <td>2019-04-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PNG 图片压缩原理解析</td>\n",
       "      <td>2019-04-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>工程项目管理版《西游记》</td>\n",
       "      <td>2019-04-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>想写好前端，先练好内功</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>如何优雅的在 Vue 中添加权限控制</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>当年，那个领我入门的项目老大…</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>腾讯大厦与我有个约定(面试精华帖）</td>\n",
       "      <td>2019-04-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>JS 中可以提升幸福度的小技巧</td>\n",
       "      <td>2019-04-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>我为什么要立刻放弃 React 而使用 Vue？</td>\n",
       "      <td>2019-04-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>前端面试题--Vue</td>\n",
       "      <td>2019-04-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>前后端分离实际容易产生的问题</td>\n",
       "      <td>2019-04-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           title create_time  \\\n",
       "0   一个 1年工作经验的 PHP 程序员是如何被面试官虐的？  2019-04-12   \n",
       "1                          前端之未来  2019-04-12   \n",
       "2              小菜前端的技术栈是如何规划和演进的  2019-04-11   \n",
       "3                   PNG 图片压缩原理解析  2019-04-11   \n",
       "4                   工程项目管理版《西游记》  2019-04-11   \n",
       "5                    想写好前端，先练好内功  2019-04-09   \n",
       "6             如何优雅的在 Vue 中添加权限控制  2019-04-09   \n",
       "7                当年，那个领我入门的项目老大…  2019-04-09   \n",
       "8              腾讯大厦与我有个约定(面试精华帖）  2019-04-07   \n",
       "9                JS 中可以提升幸福度的小技巧  2019-04-07   \n",
       "10      我为什么要立刻放弃 React 而使用 Vue？  2019-04-07   \n",
       "11                    前端面试题--Vue  2019-04-02   \n",
       "12                前后端分离实际容易产生的问题  2019-04-02   \n",
       "\n",
       "                                                 link  page  \n",
       "0   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "1   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "2   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "3   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "4   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "5   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "6   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "7   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "8   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "9   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "10  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "11  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  \n",
       "12  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35  "
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       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4 年前端狗 2 年 CTO</td>\n",
       "      <td>2019-03-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>微信小程序自定义单页面、全局导航栏</td>\n",
       "      <td>2019-03-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angular 开发技巧</td>\n",
       "      <td>2019-03-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>前端面试知识点目录整理</td>\n",
       "      <td>2019-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>程序员如何精确评估开发时间？</td>\n",
       "      <td>2019-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>程序员毕业的10年里</td>\n",
       "      <td>2019-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>假如苏大强做前端优化</td>\n",
       "      <td>2019-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>什么是闭包？闭包的优缺点？</td>\n",
       "      <td>2019-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>JavaScript八张思维导图</td>\n",
       "      <td>2019-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2019《去哪儿》春季校招第一站（含笔试题）</td>\n",
       "      <td>2019-03-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>【译】我是如何学习任意前端框架的</td>\n",
       "      <td>2019-03-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Ajax 的全面总结</td>\n",
       "      <td>2019-03-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>如何学习一门新的语言？</td>\n",
       "      <td>2019-03-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>小程序运行机制</td>\n",
       "      <td>2019-03-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>45张令程序员泪流满面的趣图</td>\n",
       "      <td>2019-03-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     title create_time  \\\n",
       "0           4 年前端狗 2 年 CTO  2019-03-28   \n",
       "1        微信小程序自定义单页面、全局导航栏  2019-03-28   \n",
       "2             Angular 开发技巧  2019-03-28   \n",
       "3              前端面试知识点目录整理  2019-03-26   \n",
       "4           程序员如何精确评估开发时间？  2019-03-26   \n",
       "5               程序员毕业的10年里  2019-03-26   \n",
       "6               假如苏大强做前端优化  2019-03-25   \n",
       "7            什么是闭包？闭包的优缺点？  2019-03-25   \n",
       "8         JavaScript八张思维导图  2019-03-25   \n",
       "9   2019《去哪儿》春季校招第一站（含笔试题）  2019-03-23   \n",
       "10        【译】我是如何学习任意前端框架的  2019-03-23   \n",
       "11              Ajax 的全面总结  2019-03-23   \n",
       "12             如何学习一门新的语言？  2019-03-22   \n",
       "13                 小程序运行机制  2019-03-22   \n",
       "14          45张令程序员泪流满面的趣图  2019-03-22   \n",
       "\n",
       "                                                 link  page  \n",
       "0   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "1   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "2   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "3   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "4   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "5   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "6   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "7   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "8   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "9   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "10  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "11  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "12  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "13  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  \n",
       "14  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    36  "
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       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>来聊一道前端面试题吧</td>\n",
       "      <td>2019-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>如何在JavaScript面试中过五关斩六将？</td>\n",
       "      <td>2019-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>关于程序员鄙视链</td>\n",
       "      <td>2019-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>阿里CBU事业部前端社招面试总结</td>\n",
       "      <td>2019-03-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JS 面试之数组的几个不 low 操作</td>\n",
       "      <td>2019-03-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CSS 最核心的几个概念</td>\n",
       "      <td>2019-03-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>微软前端社招笔试详解</td>\n",
       "      <td>2019-03-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>朋友，真正的程序员到底应该是什么样子的？</td>\n",
       "      <td>2019-03-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>写给初级前端的面试经验</td>\n",
       "      <td>2019-03-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>前端开发进化史，你经历过哪几个时期？</td>\n",
       "      <td>2019-03-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>普通程序员的一天和大佬程序员的一天</td>\n",
       "      <td>2019-03-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>http 缓存机制一二三(前端开发需要知道的）</td>\n",
       "      <td>2019-03-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>精准鉴别初级、中级、高级程序员，你是哪一种？</td>\n",
       "      <td>2019-03-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>程序猿秃顶算工伤吗？</td>\n",
       "      <td>2019-03-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      title create_time  \\\n",
       "0                来聊一道前端面试题吧  2019-03-21   \n",
       "1   如何在JavaScript面试中过五关斩六将？  2019-03-21   \n",
       "2                  关于程序员鄙视链  2019-03-21   \n",
       "3          阿里CBU事业部前端社招面试总结  2019-03-20   \n",
       "4       JS 面试之数组的几个不 low 操作  2019-03-20   \n",
       "5              CSS 最核心的几个概念  2019-03-20   \n",
       "6                微软前端社招笔试详解  2019-03-19   \n",
       "7      朋友，真正的程序员到底应该是什么样子的？  2019-03-19   \n",
       "8               写给初级前端的面试经验  2019-03-18   \n",
       "9        前端开发进化史，你经历过哪几个时期？  2019-03-18   \n",
       "10        普通程序员的一天和大佬程序员的一天  2019-03-18   \n",
       "11  http 缓存机制一二三(前端开发需要知道的）  2019-03-16   \n",
       "12   精准鉴别初级、中级、高级程序员，你是哪一种？  2019-03-16   \n",
       "13               程序猿秃顶算工伤吗？  2019-03-16   \n",
       "\n",
       "                                                 link  page  \n",
       "0   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "1   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "2   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "3   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "4   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "5   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "6   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "7   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "8   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "9   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "10  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "11  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "12  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  \n",
       "13  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    37  "
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>如何用一段简单的代码讲述一个悲伤的故事？</td>\n",
       "      <td>2019-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chrome 调试技巧</td>\n",
       "      <td>2019-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>腾讯大厦与我有个约定（面试精华帖）</td>\n",
       "      <td>2019-03-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>不要再问我 this 的指向问题了</td>\n",
       "      <td>2019-03-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>一个程序员送给大学生的一些话</td>\n",
       "      <td>2019-03-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>【面试总结】记一次失败的 bilibili 面试总结(1)</td>\n",
       "      <td>2019-03-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>不可思议的纯 CSS 实现鼠标跟随效果</td>\n",
       "      <td>2019-03-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>软件公司各种角色透视图</td>\n",
       "      <td>2019-03-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>我为什么要用 JavaScript编写CSS？</td>\n",
       "      <td>2019-03-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>散布JS无限循环代码，日本13岁女学生被抓</td>\n",
       "      <td>2019-03-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>一组漫画完美总结互联网人生</td>\n",
       "      <td>2019-03-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>我是一名朝九晚五的程序员（你也可以！）</td>\n",
       "      <td>2019-03-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>程序员精美简历Top榜—面试必备</td>\n",
       "      <td>2019-03-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2018互联网人恋爱调查报告出炉，程序员恋爱比例居然最高</td>\n",
       "      <td>2019-03-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            title create_time  \\\n",
       "0            如何用一段简单的代码讲述一个悲伤的故事？  2019-03-15   \n",
       "1                     Chrome 调试技巧  2019-03-15   \n",
       "2               腾讯大厦与我有个约定（面试精华帖）  2019-03-14   \n",
       "3               不要再问我 this 的指向问题了  2019-03-14   \n",
       "4                  一个程序员送给大学生的一些话  2019-03-14   \n",
       "5   【面试总结】记一次失败的 bilibili 面试总结(1)  2019-03-13   \n",
       "6             不可思议的纯 CSS 实现鼠标跟随效果  2019-03-13   \n",
       "7                     软件公司各种角色透视图  2019-03-13   \n",
       "8         我为什么要用 JavaScript编写CSS？  2019-03-12   \n",
       "9           散布JS无限循环代码，日本13岁女学生被抓  2019-03-12   \n",
       "10                  一组漫画完美总结互联网人生  2019-03-12   \n",
       "11            我是一名朝九晚五的程序员（你也可以！）  2019-03-11   \n",
       "12               程序员精美简历Top榜—面试必备  2019-03-11   \n",
       "13   2018互联网人恋爱调查报告出炉，程序员恋爱比例居然最高  2019-03-11   \n",
       "\n",
       "                                                 link  page  \n",
       "0   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "1   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "2   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "3   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "4   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "5   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "6   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "7   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "8   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "9   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "10  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "11  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "12  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  \n",
       "13  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38  "
      ]
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       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>一个月薪12000的北京程序员的真实生活</td>\n",
       "      <td>2019-03-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-Web开发技术指南和趋势</td>\n",
       "      <td>2019-03-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>这些年，我们遇到的404</td>\n",
       "      <td>2019-03-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CVTE2019春招前端二面凉经</td>\n",
       "      <td>2019-03-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>前端开发沦陷</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>【面经】寒冬中的一年半前端跳槽</td>\n",
       "      <td>2019-03-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>中专毕业生的前端面试经验分享</td>\n",
       "      <td>2019-03-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  title create_time  \\\n",
       "0  一个月薪12000的北京程序员的真实生活  2019-03-10   \n",
       "1     2019-Web开发技术指南和趋势  2019-03-10   \n",
       "2          这些年，我们遇到的404  2019-03-10   \n",
       "3      CVTE2019春招前端二面凉经  2019-03-09   \n",
       "4                前端开发沦陷  2019-03-08   \n",
       "5       【面经】寒冬中的一年半前端跳槽  2019-03-07   \n",
       "6        中专毕业生的前端面试经验分享  2019-03-06   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    39  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    39  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    39  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    39  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    39  \n",
       "5  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    39  \n",
       "6  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    39  "
      ]
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       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>怎样才能写出更好的 CSS？</td>\n",
       "      <td>2019-03-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>天天都用CSS，你真的懂CSS吗？</td>\n",
       "      <td>2019-03-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>大厂前端高频面试问题与答案精选</td>\n",
       "      <td>2019-03-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>我在淘宝做前端的这三年 — 第一年</td>\n",
       "      <td>2019-03-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>【算法/机器学习】【春招+秋招】个人多厂面经分享</td>\n",
       "      <td>2019-02-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      title create_time  \\\n",
       "0            怎样才能写出更好的 CSS？  2019-03-05   \n",
       "1         天天都用CSS，你真的懂CSS吗？  2019-03-04   \n",
       "2           大厂前端高频面试问题与答案精选  2019-03-03   \n",
       "3         我在淘宝做前端的这三年 — 第一年  2019-03-02   \n",
       "4  【算法/机器学习】【春招+秋招】个人多厂面经分享  2019-02-28   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    40  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    40  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    40  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    40  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    40  "
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>前端项目如何管理</td>\n",
       "      <td>2019-02-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端面试总结篇（初级）</td>\n",
       "      <td>2019-02-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>前端主流的 Javascript，缺失了哪些技能？</td>\n",
       "      <td>2019-02-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>致刚入行的前端工程师</td>\n",
       "      <td>2019-02-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019 前端面试题汇总（主要为 Vue）</td>\n",
       "      <td>2019-02-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       title create_time  \\\n",
       "0                   前端项目如何管理  2019-02-26   \n",
       "1                前端面试总结篇（初级）  2019-02-25   \n",
       "2  前端主流的 Javascript，缺失了哪些技能？  2019-02-24   \n",
       "3                 致刚入行的前端工程师  2019-02-23   \n",
       "4      2019 前端面试题汇总（主要为 Vue）  2019-02-22   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    41  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    41  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    41  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    41  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    41  "
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       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>创业公司的技术总监，去上市公司面试，结果凉了</td>\n",
       "      <td>2019-02-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019 年前端技术规划</td>\n",
       "      <td>2019-02-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>近一万字的ES6语法知识点补充</td>\n",
       "      <td>2019-02-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>一次记住js的6个正则方法</td>\n",
       "      <td>2019-02-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>学习前端需要知道的：CSS 样式书写规范</td>\n",
       "      <td>2019-02-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                    title create_time  \\\n",
       "0  创业公司的技术总监，去上市公司面试，结果凉了  2019-02-21   \n",
       "1            2019 年前端技术规划  2019-02-20   \n",
       "2         近一万字的ES6语法知识点补充  2019-02-19   \n",
       "3           一次记住js的6个正则方法  2019-02-18   \n",
       "4    学习前端需要知道的：CSS 样式书写规范  2019-02-16   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    42  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    42  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    42  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    42  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    42  "
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>真的！！！两行css代码实现瀑布流，html,css最简单的瀑布流实现方式且没有缺点！</td>\n",
       "      <td>2019-02-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>JavaScript数组去重（12种方法，史上最全）</td>\n",
       "      <td>2019-02-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>@JavaScript程序员，如何写出令人惊叹的高级代码？</td>\n",
       "      <td>2019-02-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018年 JavaScript 明星项目</td>\n",
       "      <td>2019-02-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JS 中可以提升幸福度的小技巧</td>\n",
       "      <td>2019-01-31</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         title create_time  \\\n",
       "0  真的！！！两行css代码实现瀑布流，html,css最简单的瀑布流实现方式且没有缺点！  2019-02-14   \n",
       "1                   JavaScript数组去重（12种方法，史上最全）  2019-02-13   \n",
       "2                @JavaScript程序员，如何写出令人惊叹的高级代码？  2019-02-12   \n",
       "3                        2018年 JavaScript 明星项目  2019-02-11   \n",
       "4                              JS 中可以提升幸福度的小技巧  2019-01-31   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    43  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    43  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    43  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    43  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    43  "
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>为什么你的 JavaScript 代码如此冗长？！</td>\n",
       "      <td>2019-01-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>记一次阿里的电话面试，凉凉的感觉有点坏！</td>\n",
       "      <td>2019-01-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Vue.js 项目接口管理</td>\n",
       "      <td>2019-01-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Vue.js 为何能逆袭 Angular 和 React 而主导前端？</td>\n",
       "      <td>2019-01-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>怎样才能写出更好的 CSS？</td>\n",
       "      <td>2019-01-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
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       "                                 title create_time  \\\n",
       "0            为什么你的 JavaScript 代码如此冗长？！  2019-01-30   \n",
       "1                 记一次阿里的电话面试，凉凉的感觉有点坏！  2019-01-28   \n",
       "2                        Vue.js 项目接口管理  2019-01-27   \n",
       "3  Vue.js 为何能逆袭 Angular 和 React 而主导前端？  2019-01-26   \n",
       "4                       怎样才能写出更好的 CSS？  2019-01-25   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    44  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    44  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    44  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    44  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    44  "
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>你为什么用或不用框架？</td>\n",
       "      <td>2019-01-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Flexbox 布局的最简单表单</td>\n",
       "      <td>2019-01-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>编写灵活、稳定、高质量的CSS代码的规范（推荐收藏）</td>\n",
       "      <td>2019-01-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>从入门到上线一个天气小程序</td>\n",
       "      <td>2019-01-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1个 小白的 4次 前端面试 经历</td>\n",
       "      <td>2019-01-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        title create_time  \\\n",
       "0                 你为什么用或不用框架？  2019-01-24   \n",
       "1            Flexbox 布局的最简单表单  2019-01-22   \n",
       "2  编写灵活、稳定、高质量的CSS代码的规范（推荐收藏）  2019-01-17   \n",
       "3               从入门到上线一个天气小程序  2019-01-15   \n",
       "4           1个 小白的 4次 前端面试 经历  2019-01-14   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    45  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    45  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    45  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    45  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    45  "
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019 年 Web 开发技术指南和趋势</td>\n",
       "      <td>2019-01-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ES6 小结(前端开发js技术进阶提升总结）</td>\n",
       "      <td>2019-01-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>canvas 中普通动效与粒子动效的实现</td>\n",
       "      <td>2019-01-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>老生常谈之 CSS 的垂直居中</td>\n",
       "      <td>2019-01-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>为什么我认为数据结构与算法对前端开发很重要？</td>\n",
       "      <td>2019-01-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>46</td>\n",
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       "                    title create_time  \\\n",
       "0    2019 年 Web 开发技术指南和趋势  2019-01-13   \n",
       "1  ES6 小结(前端开发js技术进阶提升总结）  2019-01-12   \n",
       "2    canvas 中普通动效与粒子动效的实现  2019-01-10   \n",
       "3         老生常谈之 CSS 的垂直居中  2019-01-06   \n",
       "4  为什么我认为数据结构与算法对前端开发很重要？  2019-01-02   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    46  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    46  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    46  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    46  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    46  "
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>纯前端实现人脸识别-提取-合成</td>\n",
       "      <td>2018-12-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>为什么我不推荐大家去外包公司</td>\n",
       "      <td>2018-12-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>canvas 小游戏—— flappy bird</td>\n",
       "      <td>2018-12-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>程序员的小浪漫----烟火</td>\n",
       "      <td>2018-12-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CSS3 SVG实现可爱的动物哈士奇和狐狸动画</td>\n",
       "      <td>2018-12-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>47</td>\n",
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       "                      title create_time  \\\n",
       "0           纯前端实现人脸识别-提取-合成  2018-12-10   \n",
       "1            为什么我不推荐大家去外包公司  2018-12-09   \n",
       "2  canvas 小游戏—— flappy bird  2018-12-07   \n",
       "3             程序员的小浪漫----烟火  2018-12-06   \n",
       "4   CSS3 SVG实现可爱的动物哈士奇和狐狸动画  2018-12-05   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    47  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    47  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    47  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    47  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    47  "
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>纯 CSS 实现波浪效果！</td>\n",
       "      <td>2018-12-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>原生 JS 实现最简单的图片懒加载</td>\n",
       "      <td>2018-12-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>一个超炫酷带阴影的CSS/Sass 3D进度条</td>\n",
       "      <td>2018-12-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>小 demo 原生 js 同步翻译，可以玩玩儿</td>\n",
       "      <td>2018-12-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20行代码的贪吃蛇</td>\n",
       "      <td>2018-11-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     title create_time  \\\n",
       "0            纯 CSS 实现波浪效果！  2018-12-04   \n",
       "1        原生 JS 实现最简单的图片懒加载  2018-12-03   \n",
       "2  一个超炫酷带阴影的CSS/Sass 3D进度条  2018-12-02   \n",
       "3  小 demo 原生 js 同步翻译，可以玩玩儿  2018-12-01   \n",
       "4                20行代码的贪吃蛇  2018-11-30   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    48  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    48  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    48  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    48  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    48  "
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>纯CSS3画出小黄人并实现动画效果</td>\n",
       "      <td>2018-11-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>原生 JS + Canvas 实现五子棋游戏</td>\n",
       "      <td>2018-11-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>用 css3 做一个求婚小动画</td>\n",
       "      <td>2018-11-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>用 Canvas 编织璀璨星空图</td>\n",
       "      <td>2018-11-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>撩妹技能 get，教你用 canvas 画一场流星雨</td>\n",
       "      <td>2018-11-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "                        title create_time  \\\n",
       "0           纯CSS3画出小黄人并实现动画效果  2018-11-29   \n",
       "1      原生 JS + Canvas 实现五子棋游戏  2018-11-28   \n",
       "2             用 css3 做一个求婚小动画  2018-11-27   \n",
       "3            用 Canvas 编织璀璨星空图  2018-11-26   \n",
       "4  撩妹技能 get，教你用 canvas 画一场流星雨  2018-11-24   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    49  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    49  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    49  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    49  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    49  "
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>纯CSS打造银色MacBook Air（完整版）</td>\n",
       "      <td>2018-11-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018.11.19秋招末第二波前端实习/校招小结</td>\n",
       "      <td>2018-11-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>一年半经验，百度、有赞、阿里面试总结</td>\n",
       "      <td>2018-11-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26自学转行前端（写给和1年前一样迷茫的我的你）</td>\n",
       "      <td>2018-11-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>你为什么用或不用框架？</td>\n",
       "      <td>2018-11-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
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       "</div>"
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      "text/plain": [
       "                       title create_time  \\\n",
       "0   纯CSS打造银色MacBook Air（完整版）  2018-11-23   \n",
       "1  2018.11.19秋招末第二波前端实习/校招小结  2018-11-22   \n",
       "2         一年半经验，百度、有赞、阿里面试总结  2018-11-21   \n",
       "3   26自学转行前端（写给和1年前一样迷茫的我的你）  2018-11-20   \n",
       "4                你为什么用或不用框架？  2018-11-19   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    50  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    50  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    50  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    50  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    50  "
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>如何鉴定菜鸟、普通、大牛、大神四个象限的程序员</td>\n",
       "      <td>2018-11-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20张图表达程序员的心酸</td>\n",
       "      <td>2018-11-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>前端：后端，我要分手</td>\n",
       "      <td>2018-11-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>以面试官的角度来看 React 工作面试</td>\n",
       "      <td>2018-11-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>如何在一天之内搭建以你自己名字为域名又具备cool属性的个人博客</td>\n",
       "      <td>2018-11-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "                              title create_time  \\\n",
       "0           如何鉴定菜鸟、普通、大牛、大神四个象限的程序员  2018-11-18   \n",
       "1                      20张图表达程序员的心酸  2018-11-17   \n",
       "2                        前端：后端，我要分手  2018-11-16   \n",
       "3              以面试官的角度来看 React 工作面试  2018-11-15   \n",
       "4  如何在一天之内搭建以你自己名字为域名又具备cool属性的个人博客  2018-11-14   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    51  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    51  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    51  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    51  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    51  "
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>机械转行前端，半年零基础自学的心路历程</td>\n",
       "      <td>2018-11-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>一文读懂前端缓存</td>\n",
       "      <td>2018-11-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>一个过来人告诉你怎么学javascript。</td>\n",
       "      <td>2018-11-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>给自己的网站添加网易云音乐歌单吧 ^ ^</td>\n",
       "      <td>2018-11-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JavaScript 实现[网易云音乐 Web 站登录窗口]拖拽功能</td>\n",
       "      <td>2018-11-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                                title create_time  \\\n",
       "0                 机械转行前端，半年零基础自学的心路历程  2018-11-12   \n",
       "1                            一文读懂前端缓存  2018-11-11   \n",
       "2              一个过来人告诉你怎么学javascript。  2018-11-10   \n",
       "3                给自己的网站添加网易云音乐歌单吧 ^ ^  2018-11-09   \n",
       "4  JavaScript 实现[网易云音乐 Web 站登录窗口]拖拽功能  2018-11-08   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    52  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    52  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    52  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    52  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    52  "
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       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>你能识别这些科技公司的真假logo吗？</td>\n",
       "      <td>2018-11-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端如何高效的与后端协作开发</td>\n",
       "      <td>2018-11-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>纯 CSS 实现多行文字截断</td>\n",
       "      <td>2018-11-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>前端开发出现危机？</td>\n",
       "      <td>2018-11-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10.26 酷狗音乐校招前端一面经历</td>\n",
       "      <td>2018-11-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 title create_time  \\\n",
       "0  你能识别这些科技公司的真假logo吗？  2018-11-07   \n",
       "1       前端如何高效的与后端协作开发  2018-11-06   \n",
       "2       纯 CSS 实现多行文字截断  2018-11-05   \n",
       "3            前端开发出现危机？  2018-11-04   \n",
       "4   10.26 酷狗音乐校招前端一面经历  2018-11-03   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>实战：用 threejs 创建一个地球</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 title create_time  \\\n",
       "0  实战：用 threejs 创建一个地球  2018-04-08   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    54  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def parse_html_snippets(_snippet_):\n",
    "    root = fromstring(_snippet_) #fromstring() 可以在解析xml格式时,将字符串转换为Element对象\n",
    "    title = [x.text for x in root.xpath('//div[@class=\"inner_link_article_title\"]')]#标题\n",
    "    create_time = [x.text for x in root.xpath('//div[@class=\"inner_link_article_date\"]')]#日期\n",
    "    link = [x for x in root.xpath('//a/@href')]#链接\n",
    "    _df_ = pd.DataFrame({\"title\":title, \"create_time\": create_time, \"link\":link,\"page\":p})#设置列名并写入DataFrame\n",
    "    return(_df_)\n",
    "    \n",
    "l_df = []\n",
    "for p in pages:\n",
    "    _df_ = parse_html_snippets(df.loc[p,\"html_snippets\"])#第p行，列名为\"html_snippets\"的内容\n",
    "#     _df_.assign(页数=p)\n",
    "    display(_df_)\n",
    "    #print (len(_df_), end=\",\")\n",
    "    l_df.append(_df_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>用英雄联盟的方式讲解JavaScript设计模式！</td>\n",
       "      <td>2020-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端高频面试题整理 前端两年-月入30K</td>\n",
       "      <td>2020-05-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>前端进阶高薪必看-手写源码篇</td>\n",
       "      <td>2020-05-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>纯 HTML+CSS+JS 编写的计算器应用</td>\n",
       "      <td>2020-05-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>面试官：说说原型链和继承吧</td>\n",
       "      <td>2020-05-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>前端如何高效的与后端协作开发</td>\n",
       "      <td>2018-11-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>纯 CSS 实现多行文字截断</td>\n",
       "      <td>2018-11-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>前端开发出现危机？</td>\n",
       "      <td>2018-11-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>10.26 酷狗音乐校招前端一面经历</td>\n",
       "      <td>2018-11-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>实战：用 threejs 创建一个地球</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>306 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         title create_time  \\\n",
       "0    用英雄联盟的方式讲解JavaScript设计模式！  2020-05-16   \n",
       "1         前端高频面试题整理 前端两年-月入30K  2020-05-15   \n",
       "2               前端进阶高薪必看-手写源码篇  2020-05-14   \n",
       "3       纯 HTML+CSS+JS 编写的计算器应用  2020-05-12   \n",
       "4                面试官：说说原型链和继承吧  2020-05-11   \n",
       "..                         ...         ...   \n",
       "301             前端如何高效的与后端协作开发  2018-11-06   \n",
       "302             纯 CSS 实现多行文字截断  2018-11-05   \n",
       "303                  前端开发出现危机？  2018-11-04   \n",
       "304         10.26 酷狗音乐校招前端一面经历  2018-11-03   \n",
       "305        实战：用 threejs 创建一个地球  2018-04-08   \n",
       "\n",
       "                                                  link  page  \n",
       "0    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "1    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "2    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "3    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "4    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "..                                                 ...   ...  \n",
       "301  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "302  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "303  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "304  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "305  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    54  \n",
       "\n",
       "[306 rows x 4 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_url_out = pd.concat(l_df).reset_index(drop=True)#重塑表格并重设索引\n",
    "df_url_out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>前端如何高效的与后端协作开发</td>\n",
       "      <td>2018-11-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>纯 CSS 实现多行文字截断</td>\n",
       "      <td>2018-11-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>前端开发出现危机？</td>\n",
       "      <td>2018-11-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>10.26 酷狗音乐校招前端一面经历</td>\n",
       "      <td>2018-11-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>实战：用 threejs 创建一个地球</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   title create_time  \\\n",
       "301       前端如何高效的与后端协作开发  2018-11-06   \n",
       "302       纯 CSS 实现多行文字截断  2018-11-05   \n",
       "303            前端开发出现危机？  2018-11-04   \n",
       "304   10.26 酷狗音乐校招前端一面经历  2018-11-03   \n",
       "305  实战：用 threejs 创建一个地球  2018-04-08   \n",
       "\n",
       "                                                  link  page  \n",
       "301  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "302  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "303  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "304  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "305  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    54  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_url_out.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns]]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " 303           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " ...        ...\n",
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       " 303           \n",
       " 304           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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    {
     "data": {
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       "[      variable\n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
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       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说]"
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     },
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       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
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       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片]"
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       "[      variable\n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
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       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
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       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
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       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据]"
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       "[      variable\n",
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       " 2             \n",
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       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " 303           \n",
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       " [306 rows x 1 columns],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
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       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
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       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
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       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
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       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
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       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
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       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       "[      variable\n",
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       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
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       " 85          腾讯\n",
       " 98          腾讯\n",
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       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
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       " Index: [],\n",
       "       variable\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
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       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 227         报告,\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
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       " 114         微信\n",
       " 160         微信\n",
       " 186         微信]"
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     },
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     "data": {
      "text/plain": [
       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
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       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       "       variable\n",
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       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 54          智能,\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " \n",
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       " 85          腾讯\n",
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       " 216         腾讯,\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Index: [],\n",
       "       variable\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " 303           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
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       " Columns: [variable]\n",
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       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
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       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
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       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
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       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
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       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
     "metadata": {},
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
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       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
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       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
       "       variable\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 269         数据,\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
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       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 92          数据\n",
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       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
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       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
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       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
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       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
       "       variable\n",
       " value         \n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
       "       variable\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       "       variable\n",
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       " 269         数据,\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " 114         微信\n",
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       " 186         微信,\n",
       " Empty DataFrame\n",
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       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       "[      variable\n",
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       " ...        ...\n",
       " 301           \n",
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       " [306 rows x 1 columns],\n",
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       " 85          腾讯\n",
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       " 216         腾讯,\n",
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       " Index: [],\n",
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       " Index: [],\n",
       "       variable\n",
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       " 173         未来,\n",
       " Empty DataFrame\n",
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " 303           \n",
       " 304           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       "       variable\n",
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       " 93          听说,\n",
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       " 227         报告,\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " 85          腾讯\n",
       " 98          腾讯\n",
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       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       "       variable\n",
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       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
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       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 92          数据\n",
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       " 269         数据,\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
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       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 173         未来,\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 10          小时\n",
       " 92          小时]"
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       "[      variable\n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
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       " 85          腾讯\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
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       " \n",
       " [306 rows x 1 columns],\n",
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       " Index: [],\n",
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       " 85          腾讯\n",
       " 98          腾讯\n",
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       " 216         腾讯,\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
       "       variable\n",
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       " 17          图片\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " 10          小时\n",
       " 92          小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 303         危机]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
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       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 32          未来\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Index: [],\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
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       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
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       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 93          听说,\n",
       "       variable\n",
       " value         \n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 32          未来\n",
       " 173         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 10          小时\n",
       " 92          小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 303         危机,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 50           疫\n",
       " 54           疫]"
      ]
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
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       " 216         腾讯,\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 92          数据\n",
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       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 32          未来\n",
       " 173         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 10          小时\n",
       " 92          小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 303         危机,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 50           疫\n",
       " 54           疫,\n",
       "       variable\n",
       " value         \n",
       " 50          疫情\n",
       " 54          疫情]"
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     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 32          未来\n",
       " 173         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 10          小时\n",
       " 92          小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 303         危机,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 50           疫\n",
       " 54           疫,\n",
       "       variable\n",
       " value         \n",
       " 50          疫情\n",
       " 54          疫情,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
     "metadata": {},
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    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 32          未来\n",
       " 173         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 10          小时\n",
       " 92          小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 303         危机,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 50           疫\n",
       " 54           疫,\n",
       "       variable\n",
       " value         \n",
       " 50          疫情\n",
       " 54          疫情,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 32          未来\n",
       " 173         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 10          小时\n",
       " 92          小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 303         危机,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 50           疫\n",
       " 54           疫,\n",
       "       variable\n",
       " value         \n",
       " 50          疫情\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
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       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 32          未来\n",
       " 173         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 10          小时\n",
       " 92          小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 303         危机,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 50           疫\n",
       " 54           疫,\n",
       "       variable\n",
       " value         \n",
       " 50          疫情\n",
       " 54          疫情,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
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     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 301           \n",
       " 302           \n",
       " 303           \n",
       " 304           \n",
       " 305           \n",
       " \n",
       " [306 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 28          腾讯\n",
       " 31          腾讯\n",
       " 36          腾讯\n",
       " 85          腾讯\n",
       " 98          腾讯\n",
       " 151         腾讯\n",
       " 180         腾讯\n",
       " 216         腾讯,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 93          听说,\n",
       "       variable\n",
       " value         \n",
       " 17          图片\n",
       " 39          图片\n",
       " 175         图片\n",
       " 276         图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 227         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 92          数据\n",
       " 167         数据\n",
       " 269         数据,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 54          智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 29          微信\n",
       " 44          微信\n",
       " 114         微信\n",
       " 160         微信\n",
       " 186         微信,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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   "source": [
    "# tagging 标记\n",
    "tagging_list = [\"\",\"马化腾\", \"腾讯\", \"微众银行\",\"腾讯复星\",\"腾讯风控\",\"腾讯支付\",\"WeChat\",\"We Remit\",\\\n",
    "                \"公益日\",\"红包\",\\\n",
    "                \"腾讯财付通\",\"鹅厂\",\"QQ钱包\",\"QQ红包\",\"QQ\",\\\n",
    "                \"只有一\",\"大咖\",\"听说\",\"图片\",\"照片\",\"小编\",\\\n",
    "                \"洗钱\", \"黑产\",\"被骗\",\"腾讯安全课\",\"诈骗\", \"炒股\",\"神秘兼职\",\"神秘组织\",\\\n",
    "                \"财付通\", \"品牌\",\\\n",
    "                \"收款\",\\\n",
    "                \"报告\",\\\n",
    "                \"银行卡\",\"理财\",\"选股\",\"发票\",\"基金\",\\\n",
    "                \"区块链\",\"金融云\",\"O2O\",\"农产品\",\"家乡\",\\\n",
    "                \"数据\", \"数据赋能\", \"智能\", \"数字孪生\", \"智慧大脑\",\\\n",
    "                \"出行\",\"乘车\",\"公交\",\"乘车码\", \"智慧地铁\",\\\n",
    "                \"高峰论坛\", \"智库\",\\\n",
    "                \"央行\",\"新规\", \\\n",
    "                \"微信\", \"微信支付\", \"跨境支付\", \"移动支付\",\"非银行支付\",\"电子支付\",\\\n",
    "                \"互联网金融\", \"金融科技\",\"互联网＋\",\"互联网+金融\",\"普惠金融\",\"虚拟银行\",\\\n",
    "                \"开放\",\"生态\",\"复杂\",\"互联网思维\",\"全球合作伙伴\",\\\n",
    "                \"联合国\", \"城市\", \"粤港澳大湾区\", \"平台\", \"可持续发展\", \"未来\", \"绿色\",\\\n",
    "                \"医护\",\"防护服\",\"小时\",\"武汉\",\"危机\",\"新冠肺炎\", \"疫\", \"疫情\", \"复工\",\"停课\",\"宅经济\",\\\n",
    "                \"基建\",\"新基建\"] #overwritable\n",
    "\n",
    "v_v_list = []\n",
    "\n",
    "for tag in tagging_list:\n",
    "    #print(tag)\n",
    "    #print(df_url_out.title.str.contains(tag))\n",
    "    #for循环输出包含某个关键字的索引值并输出为列表\n",
    "    index_list = df_url_out[df_url_out.title.str.contains(tag)].index.tolist()\n",
    "    #print(index_list)\n",
    "    #.melt()把列名变为变量名(成为单独一列)，.set_index(\"value\")把变量值变为行索引\n",
    "    v_v_pairs = pd.DataFrame({tag:index_list}).melt().set_index(\"value\")\n",
    "    #display(v_v_pairs)\n",
    "    v_v_list.append(v_v_pairs)\n",
    "    display(v_v_list)\n",
    "#取全部值\n",
    "df_cat = v_v_list[0]\n",
    "df_cat\n",
    "for d in v_v_list:\n",
    "    #print(d)\n",
    "    #.update()更新\n",
    "    df_cat.update(d)\n",
    "display(df_cat)    \n",
    "# # 尚未标记内容\n",
    "#df_url_out.loc[df_cat.query('variable==\"\"').index]"
   ]
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       "      <td>2020-05-11</td>\n",
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       "                         title create_time  \\\n",
       "0    用英雄联盟的方式讲解JavaScript设计模式！  2020-05-16   \n",
       "1         前端高频面试题整理 前端两年-月入30K  2020-05-15   \n",
       "2               前端进阶高薪必看-手写源码篇  2020-05-14   \n",
       "3       纯 HTML+CSS+JS 编写的计算器应用  2020-05-12   \n",
       "4                面试官：说说原型链和继承吧  2020-05-11   \n",
       "..                         ...         ...   \n",
       "301             前端如何高效的与后端协作开发  2018-11-06   \n",
       "302             纯 CSS 实现多行文字截断  2018-11-05   \n",
       "303                  前端开发出现危机？  2018-11-04   \n",
       "304         10.26 酷狗音乐校招前端一面经历  2018-11-03   \n",
       "305        实战：用 threejs 创建一个地球  2018-04-08   \n",
       "\n",
       "                                                  link  page  \n",
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       "..                                                 ...   ...  \n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>用英雄联盟的方式讲解JavaScript设计模式！</td>\n",
       "      <td>2020-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端高频面试题整理 前端两年-月入30K</td>\n",
       "      <td>2020-05-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>前端进阶高薪必看-手写源码篇</td>\n",
       "      <td>2020-05-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>纯 HTML+CSS+JS 编写的计算器应用</td>\n",
       "      <td>2020-05-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>面试官：说说原型链和继承吧</td>\n",
       "      <td>2020-05-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>前端如何高效的与后端协作开发</td>\n",
       "      <td>2018-11-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>纯 CSS 实现多行文字截断</td>\n",
       "      <td>2018-11-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>前端开发出现危机？</td>\n",
       "      <td>2018-11-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>10.26 酷狗音乐校招前端一面经历</td>\n",
       "      <td>2018-11-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>实战：用 threejs 创建一个地球</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>306 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         title create_time  \\\n",
       "0    用英雄联盟的方式讲解JavaScript设计模式！  2020-05-16   \n",
       "1         前端高频面试题整理 前端两年-月入30K  2020-05-15   \n",
       "2               前端进阶高薪必看-手写源码篇  2020-05-14   \n",
       "3       纯 HTML+CSS+JS 编写的计算器应用  2020-05-12   \n",
       "4                面试官：说说原型链和继承吧  2020-05-11   \n",
       "..                         ...         ...   \n",
       "301             前端如何高效的与后端协作开发  2018-11-06   \n",
       "302             纯 CSS 实现多行文字截断  2018-11-05   \n",
       "303                  前端开发出现危机？  2018-11-04   \n",
       "304         10.26 酷狗音乐校招前端一面经历  2018-11-03   \n",
       "305        实战：用 threejs 创建一个地球  2018-04-08   \n",
       "\n",
       "                                                  link  page  \n",
       "0    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "1    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "2    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "3    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "4    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1  \n",
       "..                                                 ...   ...  \n",
       "301  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "302  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "303  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "304  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53  \n",
       "305  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    54  \n",
       "\n",
       "[306 rows x 4 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_url_out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](合并四种方法.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <td>用英雄联盟的方式讲解JavaScript设计模式！</td>\n",
       "      <td>2020-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端高频面试题整理 前端两年-月入30K</td>\n",
       "      <td>2020-05-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
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       "      <td>前端进阶高薪必看-手写源码篇</td>\n",
       "      <td>2020-05-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>纯 HTML+CSS+JS 编写的计算器应用</td>\n",
       "      <td>2020-05-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>面试官：说说原型链和继承吧</td>\n",
       "      <td>2020-05-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "      <td>无法分类</td>\n",
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       "      <th>301</th>\n",
       "      <td>前端如何高效的与后端协作开发</td>\n",
       "      <td>2018-11-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>纯 CSS 实现多行文字截断</td>\n",
       "      <td>2018-11-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>前端开发出现危机？</td>\n",
       "      <td>2018-11-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "      <td>危机</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>10.26 酷狗音乐校招前端一面经历</td>\n",
       "      <td>2018-11-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "      <td>无法分类</td>\n",
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       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>实战：用 threejs 创建一个地球</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>54</td>\n",
       "      <td>无法分类</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "                         title create_time  \\\n",
       "0    用英雄联盟的方式讲解JavaScript设计模式！  2020-05-16   \n",
       "1         前端高频面试题整理 前端两年-月入30K  2020-05-15   \n",
       "2               前端进阶高薪必看-手写源码篇  2020-05-14   \n",
       "3       纯 HTML+CSS+JS 编写的计算器应用  2020-05-12   \n",
       "4                面试官：说说原型链和继承吧  2020-05-11   \n",
       "..                         ...         ...   \n",
       "301             前端如何高效的与后端协作开发  2018-11-06   \n",
       "302             纯 CSS 实现多行文字截断  2018-11-05   \n",
       "303                  前端开发出现危机？  2018-11-04   \n",
       "304         10.26 酷狗音乐校招前端一面经历  2018-11-03   \n",
       "305        实战：用 threejs 创建一个地球  2018-04-08   \n",
       "\n",
       "                                                  link  page variable  \n",
       "0    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1     无法分类  \n",
       "1    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1     无法分类  \n",
       "2    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1     无法分类  \n",
       "3    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1     无法分类  \n",
       "4    http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1     无法分类  \n",
       "..                                                 ...   ...      ...  \n",
       "301  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53     无法分类  \n",
       "302  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53     无法分类  \n",
       "303  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53       危机  \n",
       "304  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53     无法分类  \n",
       "305  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    54     无法分类  \n",
       "\n",
       "[306 rows x 5 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#.join()列方向拼接\n",
    "#.np.nan\n",
    "df_o = df_url_out.join(df_cat).replace(\"\", np.nan).fillna(\"无法分类\")\n",
    "df_o"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "      <th>variable</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>从阿里、腾讯的面试真题中总结了这11个Redis高频面试题</td>\n",
       "      <td>2020-04-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>6</td>\n",
       "      <td>腾讯</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>非科班二本前端大厂面试的心路历程和总结（腾讯、头条、阿里、京东）</td>\n",
       "      <td>2020-04-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>7</td>\n",
       "      <td>腾讯</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>阿里盒马、腾讯小程序团队 —— 小菜鸡自闭の面经（等HRing...）</td>\n",
       "      <td>2020-03-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>8</td>\n",
       "      <td>腾讯</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>记一次腾讯社招前端面试（已拿到offer入职）</td>\n",
       "      <td>2019-11-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>18</td>\n",
       "      <td>腾讯</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>一道网红面试题（腾讯、百度面试中都出现过）</td>\n",
       "      <td>2019-11-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>20</td>\n",
       "      <td>腾讯</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>前端面经分享 | 腾讯</td>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>31</td>\n",
       "      <td>腾讯</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>腾讯大厦与我有个约定(面试精华帖）</td>\n",
       "      <td>2019-04-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>35</td>\n",
       "      <td>腾讯</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>腾讯大厦与我有个约定（面试精华帖）</td>\n",
       "      <td>2019-03-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>38</td>\n",
       "      <td>腾讯</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   title create_time  \\\n",
       "28         从阿里、腾讯的面试真题中总结了这11个Redis高频面试题  2020-04-07   \n",
       "31      非科班二本前端大厂面试的心路历程和总结（腾讯、头条、阿里、京东）  2020-04-02   \n",
       "36   阿里盒马、腾讯小程序团队 —— 小菜鸡自闭の面经（等HRing...）  2020-03-27   \n",
       "85               记一次腾讯社招前端面试（已拿到offer入职）  2019-11-29   \n",
       "98                 一道网红面试题（腾讯、百度面试中都出现过）  2019-11-07   \n",
       "151                          前端面经分享 | 腾讯  2019-06-12   \n",
       "180                    腾讯大厦与我有个约定(面试精华帖）  2019-04-07   \n",
       "216                    腾讯大厦与我有个约定（面试精华帖）  2019-03-14   \n",
       "\n",
       "                                                  link  page variable  \n",
       "28   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     6       腾讯  \n",
       "31   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     7       腾讯  \n",
       "36   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     8       腾讯  \n",
       "85   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    18       腾讯  \n",
       "98   http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    20       腾讯  \n",
       "151  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    31       腾讯  \n",
       "180  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    35       腾讯  \n",
       "216  http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    38       腾讯  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_o[df_o.title.str.contains(\"腾讯\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>无法分类</th>\n",
       "      <td>278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>腾讯</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>微信</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>图片</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>小时</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>数据</th>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>未来</th>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>疫情</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>危机</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>听说</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>报告</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          title\n",
       "variable       \n",
       "无法分类        278\n",
       "腾讯            8\n",
       "微信            5\n",
       "图片            4\n",
       "小时            2\n",
       "数据            2\n",
       "未来            2\n",
       "疫情            2\n",
       "危机            1\n",
       "听说            1\n",
       "报告            1"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df_stats = df_o.groupby(by=\"variable\").agg({\"title\":\"count\"}).sort_values(by=\"title\", ascending=False)\n",
    "df_stats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 输出"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_account.columns.name = \"rel_accounts\"\n",
    "df_o.columns.name = \"url_cat\"\n",
    "df_stats.columns.name = \"stats\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>web前端学习圈</td>\n",
       "      <td>微信号：web-xxq</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/vO7l6lQ0BwpzagD...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>web前端学习汇</td>\n",
       "      <td>微信号：Webxxh</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/12xW2F2gt78dNqK...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>web前端学习教程</td>\n",
       "      <td>微信号：webqiand</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/XVTalJrFDhDdLOP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Web前端学习笔记</td>\n",
       "      <td>微信号：WebFrontNote</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/85TgnGbEj5yHXKn...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Web前端技术学习</td>\n",
       "      <td>微信号：未设置</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/ficoicA1ic9FicM...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>web前端技术圈</td>\n",
       "      <td>微信号：webxh6</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/KMM6ibady1rCXib...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>web与前端学习社区</td>\n",
       "      <td>微信号：webxx888</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/j9FPWpvW02vwr4x...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>WEB前端学习之路</td>\n",
       "      <td>微信号：superFrontEnd</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/Yy22NT7ibmsiaho...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>web前端学习营</td>\n",
       "      <td>微信号：web-7258</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/fdZCaeHKCh5wLsi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>web前端学习中心</td>\n",
       "      <td>微信号：htz533023</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/ddNezcXpmd4ygxg...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "rel_accounts    nickname             wechat  \\\n",
       "0               web前端学习圈        微信号：web-xxq   \n",
       "1               web前端学习汇         微信号：Webxxh   \n",
       "2              web前端学习教程       微信号：webqiand   \n",
       "3              Web前端学习笔记   微信号：WebFrontNote   \n",
       "4              Web前端技术学习            微信号：未设置   \n",
       "5               web前端技术圈         微信号：webxh6   \n",
       "6             web与前端学习社区       微信号：webxx888   \n",
       "7              WEB前端学习之路  微信号：superFrontEnd   \n",
       "8               web前端学习营       微信号：web-7258   \n",
       "9              web前端学习中心      微信号：htz533023   \n",
       "\n",
       "rel_accounts                                                img  \n",
       "0             http://mmbiz.qpic.cn/mmbiz_png/vO7l6lQ0BwpzagD...  \n",
       "1             http://mmbiz.qpic.cn/mmbiz_png/12xW2F2gt78dNqK...  \n",
       "2             http://mmbiz.qpic.cn/mmbiz_png/XVTalJrFDhDdLOP...  \n",
       "3             http://mmbiz.qpic.cn/mmbiz_png/85TgnGbEj5yHXKn...  \n",
       "4             http://mmbiz.qpic.cn/mmbiz_png/ficoicA1ic9FicM...  \n",
       "5             http://mmbiz.qpic.cn/mmbiz_png/KMM6ibady1rCXib...  \n",
       "6             http://mmbiz.qpic.cn/mmbiz_png/j9FPWpvW02vwr4x...  \n",
       "7             http://mmbiz.qpic.cn/mmbiz_png/Yy22NT7ibmsiaho...  \n",
       "8             http://mmbiz.qpic.cn/mmbiz_png/fdZCaeHKCh5wLsi...  \n",
       "9             http://mmbiz.qpic.cn/mmbiz_png/ddNezcXpmd4ygxg...  "
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>url_cat</th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "      <th>variable</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>用英雄联盟的方式讲解JavaScript设计模式！</td>\n",
       "      <td>2020-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>前端高频面试题整理 前端两年-月入30K</td>\n",
       "      <td>2020-05-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "      <td>无法分类</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>前端进阶高薪必看-手写源码篇</td>\n",
       "      <td>2020-05-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>纯 HTML+CSS+JS 编写的计算器应用</td>\n",
       "      <td>2020-05-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>面试官：说说原型链和继承吧</td>\n",
       "      <td>2020-05-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>1</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>前端如何高效的与后端协作开发</td>\n",
       "      <td>2018-11-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>纯 CSS 实现多行文字截断</td>\n",
       "      <td>2018-11-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>前端开发出现危机？</td>\n",
       "      <td>2018-11-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "      <td>危机</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>10.26 酷狗音乐校招前端一面经历</td>\n",
       "      <td>2018-11-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>53</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>实战：用 threejs 创建一个地球</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...</td>\n",
       "      <td>54</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>306 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "url_cat                      title create_time  \\\n",
       "0        用英雄联盟的方式讲解JavaScript设计模式！  2020-05-16   \n",
       "1             前端高频面试题整理 前端两年-月入30K  2020-05-15   \n",
       "2                   前端进阶高薪必看-手写源码篇  2020-05-14   \n",
       "3           纯 HTML+CSS+JS 编写的计算器应用  2020-05-12   \n",
       "4                    面试官：说说原型链和继承吧  2020-05-11   \n",
       "..                             ...         ...   \n",
       "301                 前端如何高效的与后端协作开发  2018-11-06   \n",
       "302                 纯 CSS 实现多行文字截断  2018-11-05   \n",
       "303                      前端开发出现危机？  2018-11-04   \n",
       "304             10.26 酷狗音乐校招前端一面经历  2018-11-03   \n",
       "305            实战：用 threejs 创建一个地球  2018-04-08   \n",
       "\n",
       "url_cat                                               link  page variable  \n",
       "0        http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1     无法分类  \n",
       "1        http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1     无法分类  \n",
       "2        http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1     无法分类  \n",
       "3        http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1     无法分类  \n",
       "4        http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...     1     无法分类  \n",
       "..                                                     ...   ...      ...  \n",
       "301      http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53     无法分类  \n",
       "302      http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53     无法分类  \n",
       "303      http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53       危机  \n",
       "304      http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    53     无法分类  \n",
       "305      http://mp.weixin.qq.com/s?__biz=MzI2MDM1Mzg1MA...    54     无法分类  \n",
       "\n",
       "[306 rows x 5 columns]"
      ]
     },
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    },
    {
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       "</style>\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th>stats</th>\n",
       "      <th>title</th>\n",
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       "    <tr>\n",
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       "  <tbody>\n",
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       "      <th>无法分类</th>\n",
       "      <td>278</td>\n",
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       "    <tr>\n",
       "      <th>腾讯</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>微信</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>图片</th>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>小时</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
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       "      <th>数据</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>未来</th>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>疫情</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>危机</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>听说</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>报告</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "stats     title\n",
       "variable       \n",
       "无法分类        278\n",
       "腾讯            8\n",
       "微信            5\n",
       "图片            4\n",
       "小时            2\n",
       "数据            2\n",
       "未来            2\n",
       "疫情            2\n",
       "危机            1\n",
       "听说            1\n",
       "报告            1"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(df_account)\n",
    "display(df_o)\n",
    "display(df_stats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['title', 'create_time', 'link', 'page'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(_df_.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the xlsxwriter workbook and worksheet objects.  \n",
    "with pd.ExcelWriter(fn[\"output\"][\"公众号_xlsx\"].format(公众号='web前端学习圈')) as writer:\n",
    "    workbook  = writer.book\n",
    "\n",
    "    for _df_ in [df_account, df_o, df_stats]:\n",
    "        _df_.to_excel(writer, sheet_name = _df_.columns.name)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_url_out.to_excel('元数据_web前端学习圈公众号.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 学习心得"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 切记不要一次性爬取 过多的数据，或者是不要爬太快，被封号了换算是小事，一旦被封了IP就不能做任何操作了。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用自动化操作的是，要注意页面是否是响应式网页，不然某部分代码可能会报错。"
   ]
  }
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